Name: Big Data : Data Science, Data Analytics & Data Visualisation - 8 Courses Bundle
Price: 39 GBP
Availability: InStock

<strong>This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.</strong>
        <p>Do you want a guide that will help you to pick the right Big Data technology for your project? Or do you want to get a solid understanding of the Big Data architecture and pipelines? This course will help you out.

After highlighting the course structure and learning objectives, the course will take you through the steps needed for setting up the environment. Next, you will understand the Big Data logical architecture, study the evolution of Big Data technologies, and explore Big Data pipelines. Moving along, you will become familiar with ingestion frameworks, such as Kafka, Flume, Nifi, and Sqoop. Next, you will learn about key storage frameworks, such as HDFS, HBase, Kudu, and Cassandra. Finally, you will go through the various data formats and uncover key data processing and data analysis frameworks.

By the end of this course, you will have a good understanding of the Big Data architecture and technologies and will have developed the skills to build real-world Big Data pipelines.

All the resources and support files for this course are available at https://github.com/PacktPublishing/Big-Data-for-Architects</p>
        <h2>What You Will Learn</h2><p>Create a Google account and a Dataproc cluster<br>Understand the Big Data architecture and pipelines<br>Study factors to consider while comparing ingestion frameworks<br>Gain a solid understanding of storage frameworks<br>Distinguish between text and binary data format<br>Find the key differences between the Spark, Tez, and Flink frameworks<br>Build a scalable Extract, Transform, Load (ETL) pipeline with Kafka Connect</p>
        <h2>Audience</h2><p>If you are a software engineer, who is looking to build Big Data pipelines or planning to appear for certifications such as CCA175 or CCA159, this video course is for you. A basic understanding of Big Data is needed to get started with this course.</p>
        <h2>Approach</h2><p>With the help of simple explanations, white-board sessions, and interesting activities, this course will make you familiar with the Big Data architecture and technologies. It will make you confident to design Big Data pipelines using modern frameworks.</p>
        <h2>Key Features</h2><p>Get a holistic picture of the Big Data ecosystem * Become an expert in choosing Big Data technology as per the requirements * Get ready to build end-to-end Big Data batch and streaming pipelines</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Big-Data-for-Architects</p>
        <h2>About the Author</h2><h3>Bhavuk Chawla</h3><p>Bhavuk Chawla has over 16 years of experience in IT, more than 8 years of experience implementing Cloud/ML/AI/Big Data Science related projects. He is an official instructor for Google, Confluent, and Cloudera. He has delivered and continues to deliver his training sessions in various companies including Google Singapore, Microsoft Bengaluru (Bangalore), Starbucks Coffee Seattle, Adobe India, EMEA Region, and more. He was recognized by Cloudera as the Instructor of the Year 2016 (APAC) for his exceptionally high ratings received in various training sessions.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Structure and Approach</p><p style='margin: 0'>This video highlights the course structure and explains how to approach the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Pre-Requisites</p><p style='margin: 0'>This video focuses on the course pre-requisites.</p></td></tr><tr><td style='padding: 15px;'><p>3. Course Audience</p><p style='margin: 0'>This video focuses on the course audience.</p></td></tr><tr><td style='padding: 15px;'><p>4. About the Author</p><p style='margin: 0'>This video introduces you to the author.</p></td></tr></tbody></table><br><h4>2. Setting Up the Environment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting up a Google Cloud Account</p><p style='margin: 0'>This video demonstrates how to set up a Google Cloud account.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Dataproc Cluster</p><p style='margin: 0'>This video explains how to create a Dataproc cluster.</p></td></tr><tr><td style='padding: 15px;'><p>3. Google Cloud Platform (GCP) Account Best Practices</p><p style='margin: 0'>This video focuses on the best practices when using a GCP account.</p></td></tr></tbody></table><br><h4>3. Holistic View of Architectures and Pipelines</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Big Data Logical Architecture</p><p style='margin: 0'>This video explains the Big Data logical architecture.</p></td></tr><tr><td style='padding: 15px;'><p>2. Evolution of Big Data Technologies</p><p style='margin: 0'>This video focuses on the evolution of Big Data technologies.</p></td></tr><tr><td style='padding: 15px;'><p>3. Key Big Data Architectures</p><p style='margin: 0'>This video explains key Big Data architectures.</p></td></tr><tr><td style='padding: 15px;'><p>4. Typical Big Data Batch Pipeline</p><p style='margin: 0'>This video introduces you to the typical Big Data batch pipeline.</p></td></tr><tr><td style='padding: 15px;'><p>5. Typical Big Data Streaming Pipeline</p><p style='margin: 0'>This video explains the typical Big Data streaming pipeline.</p></td></tr><tr><td style='padding: 15px;'><p>6. Example 01: Big Data Streaming Pipeline</p><p style='margin: 0'>This video presents an example of Big Data streaming pipeline.</p></td></tr><tr><td style='padding: 15px;'><p>7. Example 02: Big Data Streaming Pipeline</p><p style='margin: 0'>This video presents another example of a Big Data streaming pipeline.</p></td></tr></tbody></table><br><h4>4. Key Ingestion/Dataflow Frameworks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Factors to Consider while Comparing Ingestion Frameworks</p><p style='margin: 0'>This video highlights the factors to consider while comparing ingestion frameworks.</p></td></tr><tr><td style='padding: 15px;'><p>2. Kafka Versus Flume</p><p style='margin: 0'>This video highlights the difference between Kafka and Flume.</p></td></tr><tr><td style='padding: 15px;'><p>3. NiFi Versus Kafka</p><p style='margin: 0'>This video provides the difference between NiFi and Kafka.</p></td></tr><tr><td style='padding: 15px;'><p>4. Sqoop Versus Flume</p><p style='margin: 0'>This video explains the difference between Sqoop and Flume.</p></td></tr><tr><td style='padding: 15px;'><p>5. Sqoop Versus Kafka Connect</p><p style='margin: 0'>This video highlights the difference between Sqoop and Kafka Connect.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing NiFi</p><p style='margin: 0'>This video demonstrates how to install NiFi.</p></td></tr><tr><td style='padding: 15px;'><p>7. Installing Kafka</p><p style='margin: 0'>This video explains how to install Kafka.</p></td></tr><tr><td style='padding: 15px;'><p>8. Hands-on Kafka and NiFi Integration Background</p><p style='margin: 0'>This video provides a background of Kafka and NiFi integration.</p></td></tr><tr><td style='padding: 15px;'><p>9. Integrating Kafka and NiFi</p><p style='margin: 0'>This video shows how to integrate Kafka and NiFi.</p></td></tr></tbody></table><br><h4>5. Key Storage Frameworks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Factors to Consider while Comparing Storage Frameworks</p><p style='margin: 0'>This video highlights the factors to consider while comparing storage frameworks.</p></td></tr><tr><td style='padding: 15px;'><p>2. Hadoop Distributed File System (HDFS) Versus HBase</p><p style='margin: 0'>This video highlights the difference between HDFS and HBase.</p></td></tr><tr><td style='padding: 15px;'><p>3. HBase Versus Kudu</p><p style='margin: 0'>This video explains the difference between HBase and Kudu.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hadoop Distributed File System (HDFS) Versus Kudu</p><p style='margin: 0'>This video provides the difference between HDFS and Kudu.</p></td></tr><tr><td style='padding: 15px;'><p>5. HBase Versus Cassandra</p><p style='margin: 0'>This video highlights the difference between HBase and Cassandra.</p></td></tr></tbody></table><br><h4>6. Data formats</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Text Versus Binary</p><p style='margin: 0'>This video highlights the difference between text and binary.</p></td></tr><tr><td style='padding: 15px;'><p>2. Interoperability</p><p style='margin: 0'>This video focuses on interoperability.</p></td></tr><tr><td style='padding: 15px;'><p>3. Row-Oriented Versus Column-Oriented</p><p style='margin: 0'>This video explains the difference between row-oriented and column-oriented.</p></td></tr><tr><td style='padding: 15px;'><p>4. Splittable Formats</p><p style='margin: 0'>This video introduces you to splittable formats.</p></td></tr><tr><td style='padding: 15px;'><p>5. Schema Evolution</p><p style='margin: 0'>This video focuses on schema evolution.</p></td></tr><tr><td style='padding: 15px;'><p>6. Comparing Data Formats</p><p style='margin: 0'>This video compares data formats.</p></td></tr><tr><td style='padding: 15px;'><p>7. Installing Sqoop on Dataproc Cluster</p><p style='margin: 0'>This video demonstrates how to install Sqoop on Dataproc cluster.</p></td></tr><tr><td style='padding: 15px;'><p>8. Hands-on Big Data Batch Pipeline Using the Avro Format</p><p style='margin: 0'>This video focuses on Big Data batch pipeline using the Avro format.</p></td></tr></tbody></table><br><h4>7. Key Data Processing Frameworks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Factors to Consider while Comparing Processing Frameworks</p><p style='margin: 0'>This video highlights the factors to consider while comparing processing frameworks.</p></td></tr><tr><td style='padding: 15px;'><p>2. MapReduce (MR) Versus Spark Logical Architecture</p><p style='margin: 0'>This video highlights the difference between MR and Spark logical architecture.</p></td></tr><tr><td style='padding: 15px;'><p>3. MapReduce (MR) Versus Spark Performance</p><p style='margin: 0'>This video provides the difference between MR and Spark performance.</p></td></tr><tr><td style='padding: 15px;'><p>4. Spark Versus Tez</p><p style='margin: 0'>This video explains the difference between Spark and Tez.</p></td></tr><tr><td style='padding: 15px;'><p>5. Spark Versus Flink</p><p style='margin: 0'>This video highlights the difference between Spark and Flink.</p></td></tr><tr><td style='padding: 15px;'><p>6. Kafka Streams Versus Spark Streaming</p><p style='margin: 0'>This video highlights the difference between Kafka streams and Spark streaming.</p></td></tr><tr><td style='padding: 15px;'><p>7. Spark 2.x Streaming Versus Spark 1.x Streaming</p><p style='margin: 0'>This video provides the difference between Spark 2.x streaming and Spark 1.x streaming.</p></td></tr><tr><td style='padding: 15px;'><p>8. Spark Core Versus Spark Structured Query Language (SQL)</p><p style='margin: 0'>This video explains the difference between Spark core and Spark SQL.</p></td></tr><tr><td style='padding: 15px;'><p>9. Integrating Kafka and Spark Streaming</p><p style='margin: 0'>This video demonstrates how to integrate Kafka and Spark streaming.</p></td></tr></tbody></table><br><h4>8. Key Data Analysis Frameworks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Factors to Consider while Comparing Analysis Frameworks</p><p style='margin: 0'>This video highlights the factors to consider while comparing analysis frameworks.</p></td></tr><tr><td style='padding: 15px;'><p>2. Hive Versus Impala</p><p style='margin: 0'>This video highlights the difference between Hive and Impala.</p></td></tr><tr><td style='padding: 15px;'><p>3. Hive Versus Pig</p><p style='margin: 0'>This video provides the difference between Hive and Pig.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hive Versus Spark Structured Query Language (SQL)</p><p style='margin: 0'>This video explains the difference between Hive and Spark SQL.</p></td></tr><tr><td style='padding: 15px;'><p>5. Hive Versus Hive Live Long and Process (LLAP) Versus Impala</p><p style='margin: 0'>This video highlights the difference between Hive, Hive LLAP, and Impala.</p></td></tr><tr><td style='padding: 15px;'><p>6. Hive Versus KSQL</p><p style='margin: 0'>This video provides the difference between Hive and KSQL.</p></td></tr><tr><td style='padding: 15px;'><p>7. KSQL Versus KSQLDB</p><p style='margin: 0'>This video explains the difference between KSQL and KSQLDB.</p></td></tr><tr><td style='padding: 15px;'><p>8. Hands-On KSQL</p><p style='margin: 0'>This video explains how to work with KSQL.</p></td></tr><tr><td style='padding: 15px;'><p>9. Writing to a Stream and Table Using KSQL</p><p style='margin: 0'>This video demonstrates how to write to a stream and table using KSQL.</p></td></tr><tr><td style='padding: 15px;'><p>10. Streaming Extract, Transform, Load (ETL) Pipeline Background</p><p style='margin: 0'>This video provides a background of how to stream the ETL pipeline.</p></td></tr><tr><td style='padding: 15px;'><p>11. Building a Scalable Extract, Transform, Load (ETL) Pipeline with Kafka Connect - Part 1</p><p style='margin: 0'>This is the first part of the two-part video that shows how to build a scalable ETL pipeline with Kafka Connect.</p></td></tr><tr><td style='padding: 15px;'><p>12. Building a Scalable Extract, Transform, Load (ETL) Pipeline with Kafka Connect - Part 2</p><p style='margin: 0'>This is the second part of the two-part video that demonstrates how to build a scalable ETL pipeline with the Kafka Connect.</p></td></tr></tbody></table><br><h4>9. Delta Lake</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Delta Architecture</p><p style='margin: 0'>This video explains the Delta architecture in detail.</p></td></tr><tr><td style='padding: 15px;'><p>2. Why Delta Lake</p><p style='margin: 0'>Let's understand why Delta Lake is important in this lesson.</p></td></tr><tr><td style='padding: 15px;'><p>3. Challenges with Delta Lake</p><p style='margin: 0'>This video talks about the different challenges with Delta Lake.</p></td></tr><tr><td style='padding: 15px;'><p>4. Delta Lake Demo</p><p style='margin: 0'>Let's take a look at Delta Lake demonstration in this video session.</p></td></tr></tbody></table><br><h4>10. Additional Material</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Solr Versus Elasticsearch</p><p style='margin: 0'>This video highlights the difference between Solr and Elasticsearch.</p></td></tr><tr><td style='padding: 15px;'><p>2. Cloudera Search Versus Solr</p><p style='margin: 0'>This video provides the difference between Cloudera search and Solr.</p></td></tr><tr><td style='padding: 15px;'><p>3. Oozie Versus Airflow</p><p style='margin: 0'>This video explains the difference between Oozie and Airflow.</p></td></tr><tr><td style='padding: 15px;'><p>4. KSQL Versus KStreams</p><p style='margin: 0'>This video highlights the difference between KSQL and KStreams.</p></td></tr></tbody></table><br><h4>11. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Conclusion</p><p style='margin: 0'>This video provides the course conclusion.</p></td></tr></tbody></table>

This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.
Do you want a guide that will help you to pick the right Big Data technology for your project? Or do you want to get a solid understanding of the Big Data architecture and pipelines? This course will help you out. After highlighting the course structure and learning objectives, the course will take you through the steps needed for setting up the environment. Next, you will understand the Big Data logical architecture, study the evolution of Big Data technologies, and explore Big Data pipelines. Moving along, you will become familiar with ingestion frameworks, such as Kafka, Flume, Nifi, and Sqoop. Next, you will learn about key storage frameworks, such as HDFS, HBase, Kudu, and Cassandra. Finally, you will go through the various data formats and uncover key data processing and data analysis frameworks. By the end of this course, you will have a good understanding of the Big Data architecture and technologies and will have developed the skills to build real-world Big Data pipelines. All the resources and support files for this course are available at https://github.com/PacktPublishing/Big-Data-for-Architects
What You Will Learn
Create a Google account and a Dataproc cluster
Understand the Big Data architecture and pipelines
Study factors to consider while comparing ingestion frameworks
Gain a solid understanding of storage frameworks
Distinguish between text and binary data format
Find the key differences between the Spark, Tez, and Flink frameworks
Build a scalable Extract, Transform, Load (ETL) pipeline with Kafka Connect
Audience
If you are a software engineer, who is looking to build Big Data pipelines or planning to appear for certifications such as CCA175 or CCA159, this video course is for you. A basic understanding of Big Data is needed to get started with this course.
Approach
With the help of simple explanations, white-board sessions, and interesting activities, this course will make you familiar with the Big Data architecture and technologies. It will make you confident to design Big Data pipelines using modern frameworks.
Key Features
Get a holistic picture of the Big Data ecosystem * Become an expert in choosing Big Data technology as per the requirements * Get ready to build end-to-end Big Data batch and streaming pipelines
Github Repo
https://github.com/PacktPublishing/Big-Data-for-Architects
About the Author
Bhavuk Chawla
Bhavuk Chawla has over 16 years of experience in IT, more than 8 years of experience implementing Cloud/ML/AI/Big Data Science related projects. He is an official instructor for Google, Confluent, and Cloudera. He has delivered and continues to deliver his training sessions in various companies including Google Singapore, Microsoft Bengaluru (Bangalore), Starbucks Coffee Seattle, Adobe India, EMEA Region, and more. He was recognized by Cloudera as the Instructor of the Year 2016 (APAC) for his exceptionally high ratings received in various training sessions.
Course Outline
1. Introduction

1. Course Structure and Approach
This video highlights the course structure and explains how to approach the course.
2. Course Pre-Requisites
This video focuses on the course pre-requisites.
3. Course Audience
This video focuses on the course audience.
4. About the Author
This video introduces you to the author.
2. Setting Up the Environment

1. Setting up a Google Cloud Account
This video demonstrates how to set up a Google Cloud account.
2. Creating a Dataproc Cluster
This video explains how to create a Dataproc cluster.
3. Google Cloud Platform (GCP) Account Best Practices
This video focuses on the best practices when using a GCP account.
3. Holistic View of Architectures and Pipelines

1. Big Data Logical Architecture
This video explains the Big Data logical architecture.
2. Evolution of Big Data Technologies
This video focuses on the evolution of Big Data technologies.
3. Key Big Data Architectures
This video explains key Big Data architectures.
4. Typical Big Data Batch Pipeline
This video introduces you to the typical Big Data batch pipeline.
5. Typical Big Data Streaming Pipeline
This video explains the typical Big Data streaming pipeline.
6. Example 01: Big Data Streaming Pipeline
This video presents an example of Big Data streaming pipeline.
7. Example 02: Big Data Streaming Pipeline
This video presents another example of a Big Data streaming pipeline.
4. Key Ingestion/Dataflow Frameworks

1. Factors to Consider while Comparing Ingestion Frameworks
This video highlights the factors to consider while comparing ingestion frameworks.
2. Kafka Versus Flume
This video highlights the difference between Kafka and Flume.
3. NiFi Versus Kafka
This video provides the difference between NiFi and Kafka.
4. Sqoop Versus Flume
This video explains the difference between Sqoop and Flume.
5. Sqoop Versus Kafka Connect
This video highlights the difference between Sqoop and Kafka Connect.
6. Installing NiFi
This video demonstrates how to install NiFi.
7. Installing Kafka
This video explains how to install Kafka.
8. Hands-on Kafka and NiFi Integration Background
This video provides a background of Kafka and NiFi integration.
9. Integrating Kafka and NiFi
This video shows how to integrate Kafka and NiFi.
5. Key Storage Frameworks

1. Factors to Consider while Comparing Storage Frameworks
This video highlights the factors to consider while comparing storage frameworks.
2. Hadoop Distributed File System (HDFS) Versus HBase
This video highlights the difference between HDFS and HBase.
3. HBase Versus Kudu
This video explains the difference between HBase and Kudu.
4. Hadoop Distributed File System (HDFS) Versus Kudu
This video provides the difference between HDFS and Kudu.
5. HBase Versus Cassandra
This video highlights the difference between HBase and Cassandra.
6. Data formats

1. Text Versus Binary
This video highlights the difference between text and binary.
2. Interoperability
This video focuses on interoperability.
3. Row-Oriented Versus Column-Oriented
This video explains the difference between row-oriented and column-oriented.
4. Splittable Formats
This video introduces you to splittable formats.
5. Schema Evolution
This video focuses on schema evolution.
6. Comparing Data Formats
This video compares data formats.
7. Installing Sqoop on Dataproc Cluster
This video demonstrates how to install Sqoop on Dataproc cluster.
8. Hands-on Big Data Batch Pipeline Using the Avro Format
This video focuses on Big Data batch pipeline using the Avro format.
7. Key Data Processing Frameworks

1. Factors to Consider while Comparing Processing Frameworks
This video highlights the factors to consider while comparing processing frameworks.
2. MapReduce (MR) Versus Spark Logical Architecture
This video highlights the difference between MR and Spark logical architecture.
3. MapReduce (MR) Versus Spark Performance
This video provides the difference between MR and Spark performance.
4. Spark Versus Tez
This video explains the difference between Spark and Tez.
5. Spark Versus Flink
This video highlights the difference between Spark and Flink.
6. Kafka Streams Versus Spark Streaming
This video highlights the difference between Kafka streams and Spark streaming.
7. Spark 2.x Streaming Versus Spark 1.x Streaming
This video provides the difference between Spark 2.x streaming and Spark 1.x streaming.
8. Spark Core Versus Spark Structured Query Language (SQL)
This video explains the difference between Spark core and Spark SQL.
9. Integrating Kafka and Spark Streaming
This video demonstrates how to integrate Kafka and Spark streaming.
8. Key Data Analysis Frameworks

1. Factors to Consider while Comparing Analysis Frameworks
This video highlights the factors to consider while comparing analysis frameworks.
2. Hive Versus Impala
This video highlights the difference between Hive and Impala.
3. Hive Versus Pig
This video provides the difference between Hive and Pig.
4. Hive Versus Spark Structured Query Language (SQL)
This video explains the difference between Hive and Spark SQL.
5. Hive Versus Hive Live Long and Process (LLAP) Versus Impala
This video highlights the difference between Hive, Hive LLAP, and Impala.
6. Hive Versus KSQL
This video provides the difference between Hive and KSQL.
7. KSQL Versus KSQLDB
This video explains the difference between KSQL and KSQLDB.
8. Hands-On KSQL
This video explains how to work with KSQL.
9. Writing to a Stream and Table Using KSQL
This video demonstrates how to write to a stream and table using KSQL.
10. Streaming Extract, Transform, Load (ETL) Pipeline Background
This video provides a background of how to stream the ETL pipeline.
11. Building a Scalable Extract, Transform, Load (ETL) Pipeline with Kafka Connect - Part 1
This is the first part of the two-part video that shows how to build a scalable ETL pipeline with Kafka Connect.
12. Building a Scalable Extract, Transform, Load (ETL) Pipeline with Kafka Connect - Part 2
This is the second part of the two-part video that demonstrates how to build a scalable ETL pipeline with the Kafka Connect.
9. Delta Lake

1. Delta Architecture
This video explains the Delta architecture in detail.
2. Why Delta Lake
Let's understand why Delta Lake is important in this lesson.
3. Challenges with Delta Lake
This video talks about the different challenges with Delta Lake.
4. Delta Lake Demo
Let's take a look at Delta Lake demonstration in this video session.
10. Additional Material

1. Solr Versus Elasticsearch
This video highlights the difference between Solr and Elasticsearch.
2. Cloudera Search Versus Solr
This video provides the difference between Cloudera search and Solr.
3. Oozie Versus Airflow
This video explains the difference between Oozie and Airflow.
4. KSQL Versus KStreams
This video highlights the difference between KSQL and KStreams.
11. Summary

1. Conclusion
This video provides the course conclusion.

Packt

Hadoop

Cloud

Apache Kafka

Big Data

Kafka

This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.

Big Data for Architects

General Admission

Thinking about learning Big Data?
The BCS Foundation Award in Big Data teaches learners to understand how to manage Big Data and its use with Machine Learning.

You will learn the terminology, general principles, concepts and approaches related to the management of Big Data. This includes the relationship between data and information, as well as an understanding of Big Data frameworks (including Hadoop) and applicable solutions.

Duco Digital Training has been awarded as one of the best training providers in Artificial Intelligence.
Online, self-study, global access to study in any country
COURSE FEATURES
Study time: 40 hours
Gain Industry Skills
12 months course access
Includes exam
Job and Career Support
Tutor support
Learn Online - Study at home or work
Aligned to SFIAPlus
IT Industry Framework
Globally Recognised BCS Certificate
Free 1 year BCS Membership*
*new BCS members.

This course includes 'Pass Assist', a unique package of support to equip learners with knowledge and confidence to pass your BCS exam, including: 
Practice exam papers
A series of videos to get the best out of the course, make a learning plan and preparing for the exam
Tutor support - use the discussion forum, email or What’s App to ask questions.
Big Data - BCS Foundation Award
The BCS Foundation Award in Big Data is a globally recognised professional qualification which will help develop your knowledge and understanding in these specific subjects:
Course Subjects You Learn
1. What is Big Data:
Define Big Data.
Describe the difference between data and Big Data.
Explain the different types of data structures and what can be included within each type.
Explain the need for a Big Data strategy
2. Working with a Big Data framework:
Explain the need for a Big Data framework/network.
Identify Big Data frameworks and the benefits of using them.
Explain the need for data architecture.
3. Big data analytics:
Identify Big Data analytics.
Explain why data analytics is important.
4. Big Data and Machine Learning:
Describe why Machine Learning needs Big Data.
Explain how Machine Learning uses Big Data.
Illustrate the challenges of Big Data.
Study Easily Online with Duco Digital
• Work through online course content which is easy to follow, understand and in a logical format• Login to continue your course and monitor your progression easily• Book your online exam to take at home or in an office, no need to visit a test centre• Multiple choice exam• Test paper included with practice questions• Tutor support available 9 am - 5 pm weekdays GMT• Start today!
Meet Our Instructor

Darren is the Company Director of Duco Digital Training and a BCS Accredited Trainer in Artificial Intelligence. He has over 30 years of experience in international marketing, computing projects, training students for organisations and governments in AI, marketing and sales in Europe, SE Asia and the Middle East and is currently researching and studying a PhD in AI Ethics.If you have any questions about choosing the right course for your career, please contact us.
Who is BCS?
Recognised globally by corporations, academics and IT professionals, BCS is the British Computer Society, more commonly known as the Chartered Institute for IT.

They have over 60,000 members in 150 countries, and a wider community of business leaders, educators, practitioners and policy-makers all committed to their mission of leading the IT industry through its ethical challenges, to support the people who work in the industry, and to make IT good for society.
Why should I take this course?
This Foundation professional certification in Artificial Intelligence & Machine Learning will help develop your career in Artificial Intelligence and Machine Learning, especially if you are planning to or are now working on an AI or Machine Learning project.

With the Artificial Intelligence sector set to be worth over $15tn by 2030, this is a great time to learn about AI.

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Thinking about learning Big Data?

The BCS Foundation Award in Big Data teaches learners to understand how to manage Big Data and its use with Machine Learning.

Big Data - BCS Foundation Award

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			<h4><b>Deal with large numbers and key information in this Big Data Course</b></h4>
<p><span>Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Innovative Course will solve all of your problems!</span></p>
<p><span>Big data is a term that describes the large volume of data - both structured and unstructured - that inundates a business on a day-to-day basis.</span> <span>Interpreting data is of immense importance when you handle data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make your own database and reap its benefits. Since there are people who do not like to deal with database, scripts and all the technical parts, this hinders them to start learning because they already have the mindset that it is difficult.</span></p>
<p><span>Understanding Big Data course will give you a clear perception on how to deal with large data and ways you can easily handle them. This course has multiple units designed to help your data managing skills.</span></p>
<h3><b>Course Highlights</b></h3>
<p><b>Understanding Big Data</b><span> is an award winning and the best selling </span><b></b><span> course that has been given the CPD Certification &amp; CiQ accreditation. It is the most suitable course anyone looking to work in this or relevant sector.</span></p>
<p><span>It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed </span><b>Understanding Big Data</b><span> into </span><b>6</b><span> modules for teaching you everything you need to become successful in this profession.</span></p>
<p><span>To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just </span><b>6 hours</b><span> hours and it is also possible to study at your own pace.</span></p>
<p><span>We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.</span></p>
<p><span>For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.</span></p>
<h3><b>Why You Should Choose</b><b> Understanding Big Data</b></h3>
<ul>
<li><span>Lifetime access to the course</span></li>
<li><span>No hidden fees or exam charges</span></li>
<li><span>CPD Accredited certification on successful completion</span></li>
<li><span>Full Tutor support on weekdays (Monday - Friday)</span></li>
<li><span>Efficient exam system, assessment and instant results</span></li>
<li><span>Download Printable PDF certificate immediately after completion</span></li>
<li><span>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</span></li>
<li><span>Improve your chance of gaining professional skills and better earning potential.</span></li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Understanding Big Data </b><span>is CPD certified and CiQ accredited. This makes it perfect for anyone trying to learn potential professional skills.</span></p>
<p><span>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</span></p>
<h3><b>Requirements</b></h3>
<p><span>Our</span><b> Understanding Big Data</b><span> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</span></p>
<h3><b>Career Path</b></h3>
<p><span>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and CiQ accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. </span></p><table>				<tbody><tr>
					<td colspan="4">Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
				</tbody></table>

Deal with large numbers and key information in this Big Data Course
Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Innovative Course will solve all of your problems!
Big data is a term that describes the large volume of data - both structured and unstructured - that inundates a business on a day-to-day basis. Interpreting data is of immense importance when you handle data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make your own database and reap its benefits. Since there are people who do not like to deal with database, scripts and all the technical parts, this hinders them to start learning because they already have the mindset that it is difficult.
Understanding Big Data course will give you a clear perception on how to deal with large data and ways you can easily handle them. This course has multiple units designed to help your data managing skills.
Course Highlights
Understanding Big Data is an award winning and the best selling  course that has been given the CPD Certification & CiQ accreditation. It is the most suitable course anyone looking to work in this or relevant sector.
It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Understanding Big Data into 6 modules for teaching you everything you need to become successful in this profession.
To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 6 hours hours and it is also possible to study at your own pace.
We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.
For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.
Why You Should Choose Understanding Big Data
Lifetime access to the course
No hidden fees or exam charges
CPD Accredited certification on successful completion
Full Tutor support on weekdays (Monday - Friday)
Efficient exam system, assessment and instant results
Download Printable PDF certificate immediately after completion
Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.
Improve your chance of gaining professional skills and better earning potential.
Who is this Course for?
Understanding Big Data is CPD certified and CiQ accredited. This makes it perfect for anyone trying to learn potential professional skills.
As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.
Requirements
Our Understanding Big Data is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.
Career Path
You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and CiQ accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. 
Understanding Big Data			
	What Is Big Data? Hint: You're a Part of It Every Day	FREE	01:00:00
	Why Is Big Data Important?	FREE	01:00:00
	Why IBM for Big Data?		01:00:00
	All About Hadoop: The Big Data Lingo Chapter		01:00:00
	InfoSphere BigInsights: Analytics for Big Data at Rest		01:00:00
	IBM InfoSphere Streams: Analytics for Big Data in Motion		01:00:00
Mock Exam			
Final Exam			

iStudy UK

Business Analytics & Intelligence

Data Engineering

Data Science

Data Skills

Understanding Big Data

<strong>This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.</strong>
        <p>This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.
The course begins with an overview of exam details and the recommended AWS knowledge you need before starting the course. It then takes you through topics relating to big data on AWS such as cloud computing and deployment, databases and data warehousing in AWS, and AWS services for big data. Next, you'll move on to learn about data collection within big data on AWS which will cover data producers and consumers, IoT and big data, and Kinesis Firehose. As you advance, you'll get to grips with the storage and processing aspects of big data on AWS, covering DynamoDB, AWS aurora in big data, and Amazon EMR. Finally, you'll delve into visualization and security, and create a project for analyzing large datasets.
By the end of this course, you will have learned about cloud-based big data solutions, and be able to use AWS Elastic MapReduce to process data and create big data environments.
The resources for this course is available at https://github.com/PacktPublishing/AWS-Certified-Big-Data-Specialty-Certification</p>
        <h2>What You Will Learn</h2><p>Discover the design principles of AWS cloud architecture<br>Understand why AWS is used for big data along with the challenges involved in using it<br>Get to grips with DynamoDB, machine learning, and Lambda<br>Find out how to transfer data using Lambda<br>Delve into DynamoDB stream and cross-region replication<br>Explore DynamoDB performance and partition key selection</p>
        <h2>Audience</h2><p>This course is for anyone with the cloud practitioner or associate-level AWS certification and a minimum of 2 years' experience in performing complex big data analysis, including solutions architects, SysOps administrators, data scientists, and data analysts. The course assumes an understanding of AWS security best practices and AWS service integration.</p>
        <h2>Approach</h2><p>The course takes a hands-on approach that teaches you data life cycle, covering collection, ingestion, storage, processing, and visualization. This course has been created by industry leaders, and is aligned with industry best practices.</p>
        <h2>Key Features</h2><p>Understand the importance of the AWS Certified Big Data - Specialty Certification exam for advancing in your career * Get to grips with the exam pattern and exam syllabus * Discover different types of cloud computing and their advantages</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/aws-certified-big-data-specialty-certification</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Exam Details</h4><p></p><br><h4>2. Big Data on AWS Introduction</h4><p></p><br><h4>3. Big Data on AWS - Collection</h4><p></p><br><h4>4. Big Data on AWS - Storage</h4><p></p><br><h4>5. Big Data on AWS - Processing</h4><p></p><br><h4>6. Big Data on AWS - Analysis</h4><p></p><br><h4>7. Big Data on AWS - Visualization</h4><p></p><br><h4>8. Big Data on AWS - Security</h4><p></p>

This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.
This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.
The course begins with an overview of exam details and the recommended AWS knowledge you need before starting the course. It then takes you through topics relating to big data on AWS such as cloud computing and deployment, databases and data warehousing in AWS, and AWS services for big data. Next, you'll move on to learn about data collection within big data on AWS which will cover data producers and consumers, IoT and big data, and Kinesis Firehose. As you advance, you'll get to grips with the storage and processing aspects of big data on AWS, covering DynamoDB, AWS aurora in big data, and Amazon EMR. Finally, you'll delve into visualization and security, and create a project for analyzing large datasets.
By the end of this course, you will have learned about cloud-based big data solutions, and be able to use AWS Elastic MapReduce to process data and create big data environments.
The resources for this course is available at https://github.com/PacktPublishing/AWS-Certified-Big-Data-Specialty-Certification
What You Will Learn
Discover the design principles of AWS cloud architecture
Understand why AWS is used for big data along with the challenges involved in using it
Get to grips with DynamoDB, machine learning, and Lambda
Find out how to transfer data using Lambda
Delve into DynamoDB stream and cross-region replication
Explore DynamoDB performance and partition key selection
Audience
This course is for anyone with the cloud practitioner or associate-level AWS certification and a minimum of 2 years' experience in performing complex big data analysis, including solutions architects, SysOps administrators, data scientists, and data analysts. The course assumes an understanding of AWS security best practices and AWS service integration.
Approach
The course takes a hands-on approach that teaches you data life cycle, covering collection, ingestion, storage, processing, and visualization. This course has been created by industry leaders, and is aligned with industry best practices.
Key Features
Understand the importance of the AWS Certified Big Data - Specialty Certification exam for advancing in your career * Get to grips with the exam pattern and exam syllabus * Discover different types of cloud computing and their advantages
Github Repo
https://github.com/packtpublishing/aws-certified-big-data-specialty-certification
About the Author
Learnkart Technology Private Limited
Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.
Course Outline
1. Exam Details

2. Big Data on AWS Introduction

3. Big Data on AWS - Collection

4. Big Data on AWS - Storage

5. Big Data on AWS - Processing

6. Big Data on AWS - Analysis

7. Big Data on AWS - Visualization

8. Big Data on AWS - Security


Cloud Computing

This course covers all aspects of hosting big data on the Amazon Web Services (AWS) platform, and will prepare you to confidently perform distributed processing.

AWS Certified Big Data - Specialty Certification

<p>Tired of browsing and searching for a <strong>Big Data </strong>course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Big Data bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Big Data course that will enhance your skills and prepare you for the competitive job market.</p><p>so, ourexperts are available for answering your queries on Big Data and help you along your learning journey. Advanced audio-visual learning modules of these Big Data courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Big Data, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Big Data Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> </strong><strong>Course 01: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong> </strong><strong>Course 02: </strong>Complete Microsoft Power BI 2021</li><li><strong> </strong><strong>Course 03: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 04: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 05: </strong>Statistical Analysis</li><li><strong> </strong><strong>Course 06: </strong>Data Analytics with Tableau</li><li><strong> </strong><strong>Course 07: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 08: </strong>Fundamentals of Business Analysis</li><li><strong> </strong><strong>Course 09: </strong>Complete Introduction to Business Data Analysis Level 3</li><li><strong> </strong><strong>Course 10: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> </strong><strong>Course 11: </strong>Research Methods in Business</li><li><strong> </strong><strong>Course 12: </strong>Basic Graph Theory Algorithms</li><li><strong> </strong><strong>Course 13: </strong>Data Protection and Data Security Level 2</li><li><strong> </strong><strong>Course 14: </strong>Data Analysis in Excel Level 3 Course</li></ul><p>Enrol now in Big Data to advance your career, and use the premium study materials from Apex Learning.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Big Data expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        165 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Big Data bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our Big Data course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this Big Data expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course <strong>(SQL NoSQL Big Data and Hadoop)</strong> absolutely Free!</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course <strong>(SQL NoSQL Big Data and Hadoop</strong><strong>)</strong> absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Tired of browsing and searching for a Big Data course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.
After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Big Data bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Big Data course that will enhance your skills and prepare you for the competitive job market.
so, ourexperts are available for answering your queries on Big Data and help you along your learning journey. Advanced audio-visual learning modules of these Big Data courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.
Furthermore, to help you showcase your expertise in Big Data, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.
This Big Data Bundle Consists of the following Premium courses: 
Course 01: SQL NoSQL Big Data and Hadoop
Course 02: Complete Microsoft Power BI 2021
Course 03: Introduction to Data Analysis
Course 04: Python for Data Analysis
Course 05: Statistical Analysis
Course 06: Data Analytics with Tableau
Course 07: Basic Google Data Studio
Course 08: Fundamentals of Business Analysis
Course 09: Complete Introduction to Business Data Analysis Level 3
Course 10: Business Intelligence and Data Mining Masterclass
Course 11: Research Methods in Business
Course 12: Basic Graph Theory Algorithms
Course 13: Data Protection and Data Security Level 2
Course 14: Data Analysis in Excel Level 3 Course
Enrol now in Big Data to advance your career, and use the premium study materials from Apex Learning.
The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Big Data expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
 CPD 
165 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Big Data bundle.
 Requirements 
Our Big Data course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.
 Career path 
Having this Big Data expertise will increase the value of your CV and open you up to multiple job sectors.
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (SQL NoSQL Big Data and Hadoop) absolutely Free!
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (SQL NoSQL Big Data and Hadoop) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Apex Learning

Big Data Analysis and Visualization Strategies

<div>
	<h3><b>Description: </b></h3>
<p><span> The significance of Big Data in terms of web presence and advertisement is very important to reach out to your customers and potential customers. In this course, you will learn how to tweak your account to achieve the maximum result. By the end of this course, you will learn about the marketing tips, traffic, tools, and add-on that could help in your success.</span></p>
<h3><b>Who is the course </b><b>for</b><b>?</b></h3>
<ul>
<li><span>Professionals who want to learn how to become profitable through Twitter Social Marketing</span></li>
<li><span>People who have an interest in Social Marketing and promote through Twitter</span></li>
</ul>
<h3><b>Entry Requirement:</b></h3>
<ul>
<li><span>This course is available to all learners, of all academic backgrounds. </span></li>
<li><span>Learners should be aged 16 or over to undertake the qualification.</span></li>
<li><span>Good understanding of English language, numeracy and ICT are required to attend this course.</span></li>
</ul>
<h3><b>Assessment:  </b></h3>
<ul>
<li><span>At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.</span></li>
<li><span>Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. </span></li>
</ul>
<h3><b>Certification: </b></h3>
<ul>
<li><span>After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. </span></li>
<li><span>PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.</span></li>
</ul>
<h3><b>Why choose us?</b></h3>
<ul>
<li><span>Affordable, engaging &amp; high-quality e-learning study materials;</span></li>
<li><span>Tutorial videos/materials from the industry leading experts;</span></li>
<li><span>Study in a user-friendly, advanced online learning platform;</span></li>
<li><span>Efficient exam systems for the assessment and instant result; </span></li>
<li><span>The UK &amp; internationally recognised accredited qualification;</span></li>
<li><span>Access to course content on mobile, tablet or desktop from anywhere anytime;</span></li>
<li><span>The benefit of career advancement opportunities;</span></li>
<li><span>24/7 student support via email.</span></li>
</ul>
<h3><b>Career Path:</b></h3>
<p><span>The Understanding Big Data Course will be very beneficial and helpful, especially to the following careers:</span></p>
<ul>
<li><span>Businessman</span></li>
<li><span>Marketing and Promotions Specialist</span></li>
<li><span>Marketing Manager</span></li>
<li><span>Online Content Creator</span></li>
<li><span>Sales Manager</span></li>
<li><span>Sales and Promotions Specialist</span></li>
<li><span>Social Media Specialist.</span></li>
</ul>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam-Understanding Big Data</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam-Understanding Big Data</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

Description: 
 The significance of Big Data in terms of web presence and advertisement is very important to reach out to your customers and potential customers. In this course, you will learn how to tweak your account to achieve the maximum result. By the end of this course, you will learn about the marketing tips, traffic, tools, and add-on that could help in your success.
Who is the course for?
Professionals who want to learn how to become profitable through Twitter Social Marketing
People who have an interest in Social Marketing and promote through Twitter
Entry Requirement:
This course is available to all learners, of all academic backgrounds.
Learners should be aged 16 or over to undertake the qualification.
Good understanding of English language, numeracy and ICT are required to attend this course.
Assessment: 
At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.
Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam.
Certification: 
After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24.
PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days.
Why choose us?
Affordable, engaging & high-quality e-learning study materials;
Tutorial videos/materials from the industry leading experts;
Study in a user-friendly, advanced online learning platform;
Efficient exam systems for the assessment and instant result;
The UK & internationally recognised accredited qualification;
Access to course content on mobile, tablet or desktop from anywhere anytime;
The benefit of career advancement opportunities;
24/7 student support via email.
Career Path:
The Understanding Big Data Course will be very beneficial and helpful, especially to the following careers:
Businessman
Marketing and Promotions Specialist
Marketing Manager
Online Content Creator
Sales Manager
Sales and Promotions Specialist
Social Media Specialist.
Understanding Big Data			
	What Is Big Data? Hint: You're a Part of It Every Day		01:00:00
	Why Is Big Data Important?		01:00:00
	Why IBM for Big Data?		01:00:00
	All About Hadoop: The Big Data Lingo Chapter		01:00:00
	InfoSphere BigInsights: Analytics for Big Data at Rest		01:00:00
	IBM InfoSphere Streams: Analytics for Big Data in Motion		01:00:00
Mock Exam			
	Mock Exam-Understanding Big Data		00:20:00
Final Exam			
	Final Exam-Understanding Big Data		00:20:00
Certificate and Transcript			
	Order Your Certificates and Transcripts		00:00:00

John Academy

Online Course Marketing

Google Digital Marketing

<p>Give a compliment to your career and take it to the next level. This<strong> Big Data </strong>will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this bundle will help you stay ahead of the pack.</p><p>Throughout the Big Data programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p><p>Along with this Big Data course, you will get <strong>10 premium courses, an original hardcopy</strong>, <strong>11 PDF certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p><p><strong>This Big Data Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> Course 01: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong> Course 02: </strong>Complete Microsoft Power BI 2021</li><li><strong> Course 03: </strong>Introduction to Data Analysis</li><li><strong> Course 04: </strong>Python for Data Analysis</li><li><strong> Course 05: </strong>Statistical Analysis</li><li><strong> Course 06: </strong>Data Analytics with Tableau</li><li><strong> Course 07: </strong>Basic Google Data Studio</li><li><strong> Course 08: </strong>Fundamentals of Business Analysis</li><li><strong> Course 09: </strong>Complete Introduction to Business Data Analysis Level 3</li><li><strong> Course 10: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 11: </strong>Research Methods in Business</li></ul><p>Enrol now in Big Data to advance your career, and use the premium study materials from Apex Learning.<br /><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Big Data expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        135 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Big Data bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Big Data course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Title Course</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Give a compliment to your career and take it to the next level. This Big Data will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this bundle will help you stay ahead of the pack.
Throughout the Big Data programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.
Along with this Big Data course, you will get 10 premium courses, an original hardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts.
This Big Data Bundle Consists of the following Premium courses: 
Course 01: SQL NoSQL Big Data and Hadoop
Course 02: Complete Microsoft Power BI 2021
Course 03: Introduction to Data Analysis
Course 04: Python for Data Analysis
Course 05: Statistical Analysis
Course 06: Data Analytics with Tableau
Course 07: Basic Google Data Studio
Course 08: Fundamentals of Business Analysis
Course 09: Complete Introduction to Business Data Analysis Level 3
Course 10: Business Intelligence and Data Mining Masterclass
Course 11: Research Methods in Business
Enrol now in Big Data to advance your career, and use the premium study materials from Apex Learning.
Certificate:
PDF Certificate: Free (Previously it was £6*11 = £66)
Hard Copy Certificate: Free (For The Title Course: Previously it was £10)
The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Big Data expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
 CPD 
135 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Big Data bundle.
 Requirements 
This Big Data course has been designed to be fully compatible with tablets and smartphones.
 Career path 
Having this expertise will increase the value of your CV and open you up to multiple job sectors.
 Certificates 
Certificate of completion
 Digital certificate - Included 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Title Course) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Big Data Management and Analytics for Business Leaders

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Senior Executives<br />CIOs and CTOs<br />Business Intelligence Executives<br />Marketing Executives<br />Data &amp; Business Analytics Specialists<br />Innovation Specialists &amp; Entrepreneurs<br />Academics, and other people interested in Big Data</p>Overview<p>More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection.</p><p>Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students.</p></div><div id="course-pills-2"><h4>Workshop Application Use Cases</h4><ul><li>Oz Metropolitan</li><li>Architectural questions</li><li>Team activity: Analyze Metroz Application Use Cases</li></ul><h4>Application Vertical Slice</h4><ul><li>Definition</li><li>Minimizing risk of an unsound architecture</li><li>Selecting a vertical slice</li><li>Team activity: Identify an initial vertical slice for Metroz</li></ul><h4>Application Processing</h4><ul><li>Real time, near real time processing</li><li>Batch processing</li><li>Data access patterns</li><li>Delivery and processing guarantees</li><li>Machine Learning pipelines</li><li>Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines</li></ul><h4>Application Data</h4><ul><li>Three V?s of Big Data</li><li>Data Lifecycle</li><li>Data Formats</li><li>Transforming Data</li><li>Team activity: Metroz Data Requirements</li></ul><h4>Scalable Applications</h4><ul><li>Scale up, scale out, scale to X<br />Determining if an application will scale<br />Poll: scalable airport terminal designs<br />Hadoop and Spark Scalability<br />Team activity: Scaling Metroz</li></ul><h4>Fault Tolerant Distributed Systems</h4><ul><li>Principles<br />Transparency<br />Hardware vs. Software redundancy<br />Tolerating disasters<br />Stateless functional fault tolerance<br />Stateful fault tolerance<br />Replication and group consistency<br />Fault tolerance in Spark and Map Reduce<br />Application tolerance for failures<br />Team activity: Identify Metroz component failures and requirements</li></ul><h4>Security and Privacy</h4><ul><li>Principles</li><li>Privacy</li><li>Threats</li><li>Technologies</li><li>Team activity: identify threats and security mechanisms in Metroz</li></ul><h4>Deployment</h4><ul><li>Cluster sizing and evolution</li><li>On-premise vs. Cloud</li><li>Edge computing</li><li>Team activity: select deployment for Metroz</li></ul><h4>Technology Selection</h4><ul><li>HDFS</li><li>HBase</li><li>Kudu</li><li>Relational Database Management Systems</li><li>Map Reduce</li><li>Spark, including streaming, SparkSQL and SparkML</li><li>Hive</li><li>Impala</li><li>Cloudera Search</li><li>Data Sets and Formats</li><li>Team activity: technologies relevant to Metroz</li></ul><h4>Software Architecture</h4><ul><li>Architecture artifacts</li><li>One platform or multiple, lambda architecture</li><li>Team activity: produce high level architecture, selected technologies, revisit vertical slice</li><li>Vertical Slice demonstration</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Big Data Architecture Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Big Data Architecture Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Duration
3 Days
18 CPD hours
This course is intended for
Senior Executives
CIOs and CTOs
Business Intelligence Executives
Marketing Executives
Data & Business Analytics Specialists
Innovation Specialists & Entrepreneurs
Academics, and other people interested in Big Data
Overview
More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection.
Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students.
Workshop Application Use Cases
Oz Metropolitan
Architectural questions
Team activity: Analyze Metroz Application Use Cases
Application Vertical Slice
Definition
Minimizing risk of an unsound architecture
Selecting a vertical slice
Team activity: Identify an initial vertical slice for Metroz
Application Processing
Real time, near real time processing
Batch processing
Data access patterns
Delivery and processing guarantees
Machine Learning pipelines
Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines
Application Data
Three V?s of Big Data
Data Lifecycle
Data Formats
Transforming Data
Team activity: Metroz Data Requirements
Scalable Applications
Scale up, scale out, scale to X
Determining if an application will scale
Poll: scalable airport terminal designs
Hadoop and Spark Scalability
Team activity: Scaling Metroz
Fault Tolerant Distributed Systems
Principles
Transparency
Hardware vs. Software redundancy
Tolerating disasters
Stateless functional fault tolerance
Stateful fault tolerance
Replication and group consistency
Fault tolerance in Spark and Map Reduce
Application tolerance for failures
Team activity: Identify Metroz component failures and requirements
Security and Privacy
Principles
Privacy
Threats
Technologies
Team activity: identify threats and security mechanisms in Metroz
Deployment
Cluster sizing and evolution
On-premise vs. Cloud
Edge computing
Team activity: select deployment for Metroz
Technology Selection
HDFS
HBase
Kudu
Relational Database Management Systems
Map Reduce
Spark, including streaming, SparkSQL and SparkML
Hive
Impala
Cloudera Search
Data Sets and Formats
Team activity: technologies relevant to Metroz
Software Architecture
Architecture artifacts
One platform or multiple, lambda architecture
Team activity: produce high level architecture, selected technologies, revisit vertical slice
Vertical Slice demonstration
Additional course details:
Nexus Humans Big Data Architecture Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. 

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Big Data Architecture Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.


Nexus Human

Cloud Architecture

Data Architecture

Big Data Architecture Workshop

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Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications.
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<p>This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge.<br /><br /></p>
<p>After the successful completion of this course, you will be able to:<br /><br /></p>
<ul>
<li>Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks.</li>
<li>Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S).</li>
<li>Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing.</li>
<li>Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database.</li>
<li>Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra.</li>
<li>Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication.</li>
<li>Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations.</li>
</ul>
</div>
</div>
</div>
<div> <div id="headingTwo"> <h2>  </h2> </div> <div id="collapseTwo"> <div> <div> <div> <div> <div> <div id="msbmAccordion"> <div> <div> <div> <div> <div id="headingOne1"> <h2>  </h2> </div> <div id="collapse2897"> <div> <p>Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise.</p> <ul> <li> <div> <div> <i></i> </div> <div> <h5>VIDEO - Course Structure and Assessment Guidelines</h5> <p>Watch this video to gain further insight.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Navigating the MSBM Study Portal</h5> <p>Watch this video to gain further insight.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Interacting with Lectures/Learning Components</h5> <p>Watch this video to gain further insight.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Big Data Infrastructure</h5> <p>Self-paced pre-recorded learning content on this topic.</p> </div> </div> </li> <li> <div> <div> <i></i> </div> <div> <h5>Big Data Infrastructure</h5> <p>Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. </p> </div> </div> </li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
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<div id="headingThree">
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</h2>
</div>
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All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details.
</div>
</div>
</div>
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<div id="headingFive">
<h2>

</h2>
</div>
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There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course.<br />
<p>The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.</p>
<ul>
<li>Big Data Infrastructure Engineer</li>
<li>Hadoop Administrator</li>
<li>Spark Developer</li>
<li>Cassandra Database Administrator</li>
<li>Big Data Solutions Architect</li>
<li>Data Infrastructure Manager</li>
<li>NoSQL Database Analyst</li>
<li>Big Data Consultant</li>
</ul>
</div>
</div>
</div>
</div><div>
<div>

<div>
<h5>Average Completion Time</h5>
<p>2 Weeks</p>
</div>
</div>
</div>
<div>
<div>

<div>
<h5>Accreditation</h5>
<p>3 CPD Hours</p>
</div>
</div>
</div>
<div>
<div>

<div>
<h5>Level</h5>
<p>Advanced</p>
</div>
</div>
</div>
<div>
<div>

<div>
<h5>Start Time</h5>
<p>Anytime</p>
</div>
</div>
</div>
<div>
<div>

<div>
<h5>100% Online</h5>
<p>Study online with ease.</p>
</div>
</div>
</div>
<div>
<div>

<div>
<h5>Unlimited Access</h5>
<p>24/7 unlimited access with pre-recorded lectures.</p>
</div>
</div>
</div>
<div>
<div>

<div>
<h5>Low Fees</h5>
<p>Our fees are low and easy to pay online.</p>
</div>
</div>
</div>

 
Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications.
 
This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge.


After the successful completion of this course, you will be able to:


Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks.
Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S).
Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing.
Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database.
Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra.
Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication.
Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations.
 
 
Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise.
VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight.
Navigating the MSBM Study Portal Watch this video to gain further insight.
Interacting with Lectures/Learning Components Watch this video to gain further insight.
Big Data Infrastructure Self-paced pre-recorded learning content on this topic.
Big Data Infrastructure Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct.
 
All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details.
 
There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course.
The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience.
Big Data Infrastructure Engineer
Hadoop Administrator
Spark Developer
Cassandra Database Administrator
Big Data Solutions Architect
Data Infrastructure Manager
NoSQL Database Analyst
Big Data Consultant
Average Completion Time
2 Weeks
Accreditation
3 CPD Hours
Level
Advanced
Start Time
Anytime
100% Online
Study online with ease.
Unlimited Access
24/7 unlimited access with pre-recorded lectures.
Low Fees
Our fees are low and easy to pay online.

Metropolitan School of Business & Management UK

Certificate in Information Security Management Principles (CISMP)

Diploma in Management Studies (DMS)

Trainers Course

ICDL (International Certification of Digital Literacy)

Professional Certificate Course in Big Data Infrastructure in London 2024

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics &amp; Data Visualisation.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a standalone course:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Power BI and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Tableau Desktop and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Basic Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL for Data Science, Data Analytics and Data Visualization</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Complete Python Machine Learning &amp; Data Science Fundamentals</strong></li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the Big Data : Data Science, Data Analytics &amp; Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the Big Data : Data Science, Data Analytics &amp; Data Visualisation community today and let your voyage of discovery begin!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Attain a holistic understanding in the designated areas of study with the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        85 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics & Data Visualisation.
Delve into eight immersive CPD Accredited courses, each a standalone course:
Big Data Analytics with PySpark Power BI and MongoDB
Big Data Analytics with PySpark Tableau Desktop and MongoDB
Building Big Data Pipelines with PySpark MongoDB and Bokeh
Develop Big Data Pipelines with R & Sparklyr & Tableau
Develop Big Data Pipelines with R, Sparklyr & Power BI
Basic Data Analysis
SQL for Data Science, Data Analytics and Data Visualization
Complete Python Machine Learning & Data Science Fundamentals
Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics & Data Visualisation bundle illuminate your path to wisdom.
The Big Data : Data Science, Data Analytics & Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.
In the framework of the Big Data : Data Science, Data Analytics & Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!
So, don't wait further and join the Big Data : Data Science, Data Analytics & Data Visualisation community today and let your voyage of discovery begin!
Learning Outcomes:
Attain a holistic understanding in the designated areas of study with the Big Data bundle.
Establish robust bases across each course nestled within the Big Data bundle.
Decipher intricate concepts through the articulate content of the Big Data bundle.
Amplify your prowess in interpreting, scrutinising, and implementing theories.
Procure the capacity to engage with the course material on an intellectual and profound level.
Become proficient in the art of problem-solving across various disciplines.
Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.
The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.
The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future.
 CPD 
85 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Individuals keen on deepening their firm understanding in the respective fields.
Students pursuing higher education looking for comprehensive theory modules.
Professionals seeking to refresh or enhance their knowledge.
Anyone with a thirst for knowledge and a passion for continuous learning.
 Career path 
Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork.
 Certificates 
CPD Certificate Of Completion
 Digital certificate - Included 
8 Digital Certificates Are Included With This Bundle
CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)
 Hard copy certificate - £9.99 
Hardcopy Transcript - £9.99

Educators providing Big Data courses in Bury delivered Online