137 Data Processing courses delivered Online

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Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

In today's interconnected world, safeguarding personal data is paramount. Enter GDPR, the General Data Protection Regulation, a vital framework shaping how data is handled across the EU and beyond. But what is GDPR? At its core, GDPR stands for the General Data Protection Regulation, a comprehensive set of rules designed to empower individuals and streamline data protection laws across Europe. Understanding GDPR isn't just about compliance; it's about embracing principles prioritising privacy, transparency, and accountability. As you embark on your journey into GDPR, you'll delve into its principles and regulations through a comprehensive online course. Each module uncovers essential insights from its inception to its application in various sectors like healthcare. From deciphering lawful bases for data processing to exploring responsibilities and obligations, you'll gain a holistic understanding of GDPR's intricacies. Moreover, the course sheds light on handling electronic medical records ethically and the rights of individuals in case of breaches. By the end of this course, you'll emerge equipped with essential knowledge and skills to ensure GDPR compliance within your organisation. Through practical scenarios and real-world examples, you'll navigate the complexities of GDPR with confidence. Whether you're a healthcare professional, an IT specialist, or an aspiring data protection officer, this course offers invaluable insights to bolster your expertise and advance your career in today's data-driven landscape. Learning Outcomes: Comprehend the meaning and significance of contemporary data protection. Analyse GDPR principles and their implications in various sectors, particularly healthcare. Interpret the lawful basis for data processing under UK GDPR regulations. Assess responsibilities and obligations mandated by GDPR for organisations handling personal data. Identify rights granted to individuals and appropriate responses in case of GDPR breaches. Why buy this Certificate in GDPR - Level 3 Course Online? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Certificate in GDPR - Level 3 Course Online there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Certificate in GDPR - Level 3 Course Online for? Healthcare professionals seeking to enhance their understanding of General Data Protection Regulation in the medical context. IT specialists aiming to deepen their knowledge of data protection laws and compliance. Aspiring data protection officers looking to build expertise in GDPR regulations. Business owners and managers strive to ensure GDPR compliance within their organisations. Legal professionals interested in specialising in data protection and privacy laws. Prerequisites This Certificate in GDPR - Level 3 Course Online does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in GDPR - Level 3 Course Online was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Protection Officer: £30,000 - £60,000 Per Annum GDPR Compliance Manager: £35,000 - £70,000 Per Annum Healthcare Data Analyst: £25,000 - £45,000 Per Annum IT Security Consultant: £35,000 - £70,000 Per Annum Legal Advisor specialising in General Data Protection Regulation: £40,000 - £80,000 Per Annum Healthcare Administrator(General Data Protection Regulation): £20,000 - £40,000 Per Annum Course Curriculum Module 01: Introduction to GDPR Introduction to GDPR 00:26:00 Module 02: GDPR and Healthcare Setting GDPR and Healthcare Setting 00:20:00 Module 03: General Data Protection Regulations Explained General Data Protection Regulations Explained 00:16:00 Module 04: Lawful Basis for Preparation Lawful Basis for Preparation 00:30:00 Module 05: Responsibilities and Obligations Responsibilities and Obligations 00:33:00 Module 06: Electronic Medical Records Electronic Medical Records 00:19:00 Module 07: Rights and Breaches Rights and Breaches 00:13:00 Assignment Assignment - Certificate in GDPR - Level 3 Course Online 00:00:00

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS 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 Building Data Lakes on AWS 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.

This course will help you learn the programming fundamentals with Python 3. It is designed for beginners in Python and is a complete masterclass. This course will help you understand Python GUI, data science, full-stack web development with Django, machine learning, artificial intelligence, Natural Language Processing, and Computer Vision.

A hands-on course to learn about different tools and scenarios to ingest data into Data Lake. This course includes end-to-end demonstrations to ingest, process, and export data using Databricks and HDInsight, which will help you have a good understanding of Azure Data Lake Services.

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers Data Protection Lawyers Records Managers Information Officers Compliance Officers Human Resource Officers Anyone who uses, processes and maintains personal data Overview The General Data Protection Regulation (GDPR) took effect in 2018. Are you in compliance? There's a lot to know, there's a lot at stake and there's a lot of opportunity for data protection professionals with the right training and education. Achieving a CIPP/E credential shows you have the comprehensive GDPR knowledge, perspective and understanding to ensure compliance and data protection success in Europe-and to take advantage of the career opportunity this sweeping legislation represents. The Certified Information Privacy Manager (CIPM) credential provides the practical day-to-day information to lead an organisation's data protection programme. Adding the CIPM to your CIPP/E puts you at the forefront of ensuring you are ready for the GDPR. The General Data Protection Regulation (GDPR) took effect in 2018. Are you in compliance? There?s a lot to know, there?s a lot at stake and there?s a lot of opportunity for data protection professionals with the right training and education. Achieving a CIPP/E credential shows you have the comprehensive GDPR knowledge, perspective and understanding to ensure compliance and data protection success in Europe?and to take advantage of the career opportunity this sweeping legislation represents. The Certified Information Privacy Manager (CIPM) credential provides the practical day-to-day information to lead an organisation?s data protection programme. Adding the CIPM to your CIPP/E puts you at the forefront of ensuring you are ready for the GDPR. Data protection laws Key European data protection laws and regulatory bodies Evolving toward a harmonised legislative framework Personal Data Understanding and differentiating between types of data as defined by the GDPR Personal, anonymous, pseudonymous and special categories Controllers and Processors Roles and relationships of controllers and processors as defined by the GDPR Processing Personal Data Data processing and GDPR processing principles Applying the GDPR Legal grounds for processing personal data Data subject rights Data subject rights Applying rights Controller and processor obligations Information provision obligations Controller obligations for providing information about data processing activities to data subjects Supervisory authorities as set out in the GDPR Cross-border data transfers Options and obligations under the GDPR for transferring data outside the European Economic Area Adequacy decisions Safeguards and derogations Compliance considerations Applying European data protection laws Legal bases and compliance requirements for processing personal data in practice Processing employee data Surveillance Direct marketing Internet technology and communications Security of processing Considerations and duties of controllers and processors for ensuring security of personal data GDPR specifications for providing notification of data breaches Accountability Accountability requirements Data protection management systems Data protection impact assessments Data protection policies Role of the data protection officer Supervision and enforcement Role, powers and procedures of supervisory authorities Composition and tasks of the European Data Protection Board Role of the European Data Protection Supervisor Remedies, liabilities and penalties for noncompliance as set out in the GDPR Additional course details: Nexus Humans Certified Information Privacy Professional (CIPP/E) 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 Certified Information Privacy Professional (CIPP/E) 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.

Level 3 - Two Endorsed Training | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

GDPR Training Course Online The General Data Protection Regulation (GDPR) is an EU law regulation on data protection and privacy in the EU and the European Economic Area (EEA). It aims to improve data protection for individuals across the EU and became directly applicable on May 25, 2018. Organisations must now comply with the new rules and act immediately. This GDPR Training Course will introduce you to the new rules of privacy regulation, the key changes that have been implemented, and the obligations of data controllers and processors. Through this GDPR Training Course you will gain a thorough understanding of how to process sensitive personal data and data protection terminology. Why Choose GDPR Training Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials of GDPR Training Course. Course developed by industry experts. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. GDPR Training Course Learning Outcomes After completing this GDPR Training Course, you will be able to: Understand the introduction and checklist of GDPR. Understand scope of application of the GDPR. Understand material requirements. Understand special data processing activities and much more. Certificate of Completion You will receive a course completion certificate for free as soon as you complete the GDPR Training Course course. GDPR Training Course 1:43:00 1: GDPR Training Course 1:43:00 PDF Who is this course for? GDPR Training Course This GDPR Training Course is ideal for anyone who wants to learn about GDPR in detail. Requirements GDPR Training Course There are no specific requirements for this GDPR Training Course because it does not require any advanced knowledge or skills. Students who intend to enrol in this GDPR Training Course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path GDPR Training Course After completing this GDPR Training Course, you may able to pursue a variety of promising career opportunities, such as: Data Protection Officer:£70,000 - £100,000 per annum Financial Planning Administrator:£18,000 - £24,000 per annum Data Protection Advisor: £50,000 - £60,000 per annum, Data Manager: £45,000 - £50,000 per annum Data Protection Co-ordinator: £19.00 per hour Certificates Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.