278 Big Data courses delivered Online

Learn the process to design and develop big data engineering projects using Apache Spark. This example-driven advanced-level course will help you understand real-time stream processing using Apache Spark and you can apply that knowledge to build real-time stream processing solutions.

In today's fast-paced and competitive world, staying ahead requires constant growth and upskilling. Welcome to FinTech and Big Data Analytics Level 3 Diploma, an empowering journey designed to equip you with the essential knowledge and skills in FinTech and Big Data Analytics Level 3 Diploma to thrive in your professional endeavours. This comprehensive FinTech and Big Data Analytics Level 3 Diplomacourse combines theoretical concepts with essential applications, providing you with a well-rounded understanding of the topic. Whether you're a seasoned professional seeking to enhance your expertise or a newcomer eager to embark on a new career path, this courseoffers the tools and insights necessary to unlock your true potential. This FinTech and Big Data Analytics Level 3 Diploma course hold a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Teaching Assistant course promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Enrol in FinTech and Big Data Analytics Level 3 Diploma today and embark on a transformative journey that will set you up for success in the dynamic and evolving world of FinTech and Big Data Analytics Level 3 Diploma. Unleash your potential and take the first step towards a rewarding and fulfilling career! Learning Outcomes By the end of this FinTech and Big Data Analytics Level 3 Diploma course, you will: Gain a deep understanding of the fundamental principles and theories in FinTech and Big Data Analytics Level 3 Diploma. Acquire the ability to analyse and solve complex problems related to the topic critically. Enhance your communication and teamwork skills, which are essential for collaborating effectively in professional settings. Apply the learned concepts in FinTech and Big Data Analytics Level 3 Diplomato drive innovation and make strategic decisions within your field. In the rapidly evolving landscape of the financial world, where technology intertwines with data to revolutionise how we transact, analyse, and protect assets, a new frontier beckons. Welcome to the FinTech and Big Data Analytics Level 3 Diploma, an immersive journey into the realm where finance meets technology, where cryptocurrencies thrive, and where big data reveals its power. Curriculum of FinTech and Big Data Analytics Level 3 Diploma: Module 01: Introduction to Financial Technology - FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of Fintech Don't miss this opportunity to expand your horizons and embrace the fusion of finance and technology. Join us on this extraordinary journey of knowledge and understanding. Enrol now in the FinTech and Big Data Analytics Level 3 Diploma and unlock the secrets that lie at the intersection of finance and technology. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Professionals looking to expand their knowledge and skills in FinTech and Big Data Analytics Level 3 Diploma. Recent graduates seeking to enter the job market with a competitive edge. Individuals considering a career change into FinTech and Big Data Analytics Level 3 Diploma. Entrepreneurs aiming to gain insights into FinTech and Big Data Analytics Level 3 Diploma to boost their business strategies. Anyone interested in broadening their understanding of FinTech and Big Data Analytics Level 3 Diploma for personal or professional growth. Requirements No prior knowledge or experience is required to enrol in this FinTech and Big Data Analytics Level 3 Diploma course. Career path Completing FinTech and Big Data Analytics Level 3 Diploma can give you the initial boost to a world of exciting career opportunities.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

Big data is transforming industries big and small, but do you know what it is? Big Data refers to the huge amount of information available that can be analyzed by computers in order to identify patterns and get meaning that might be too complex for traditional methods. In this course, you'll learn what this means for businesses and how Big Data is already transforming different industries. Our digital transformation series continues with a micro-learning video designed to help strengthen employees' digital competence and understanding of 'big data.' Because big data is a resource that so many organizations use, it is important that team members know how what it is and how it may benefit their role or the organization as a whole. Length: 3:01 Learning Objectives Analyze the fundamental concept of Big Data, discerning its role as a computational tool for extracting meaningful patterns and insights from vast and rapidly evolving datasets that may be impractical to analyze through traditional methods.;Evaluate the profound impact of Big Data on business strategies, recognizing its potential to transform organizations by harnessing the power of accurate, real-time information for predictive analytics.;Explore how Big Data extends beyond internal operations to incorporate external world information and enhance decision-making processes in various industries.;Gain insights into how organizations can leverage Big Data to gain a competitive advantage while respecting privacy and ethical standards.

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies. Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations. After the successful completion of this course, you will be able to: Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics. Understand the data mining process and its role in Big Data analytics. Apply machine learning techniques like classification, regression, and clustering to analyse Big Data. Describe the principles and applications of natural language processing in Big Data analytics. Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing. Evaluate the accuracy and reliability of Big Data analytics results. Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights. Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine. Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance. 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 Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic. Big Data Analytics 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 Analyst Data Scientist Machine Learning Engineer Business Intelligence Analyst Predictive Analytics Expert Information Architect Data Engineer AI Solutions Architect 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.

Get ready for an exceptional online learning experience with the Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. The Big Data Analysis, Data Science, Fintech & Python for Data Analyst is a dynamic package, that blends the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Data Analysis package has something for everyone. As part of the Big Data Analysis, Data Science, Fintech & Python for Data Analyst package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analysis bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This bundle comprises the following courses: CPD Quality Standards Courses: 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 Learn Python, JavaScript, and Microsoft SQL for Data Science SQL for Data Science, Data Analytics, and Data Visualization Excel Data Analysis Introduction to Data Analytics with Tableau Business and Data Analytics for Beginners Google Data Studio: Data Analytics Basic Data Analysis FinTech Learning Outcome: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Data Analysis Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with Data Analysis. Build a strong knowledge base in your chosen course via Data Analysis. Benefit from the flexibility and convenience of online learning. With the Data Analysis package, validate your learning with a CPD certificate. Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Big Data Analysis, Data Science, Fintech & Python for Data Analyst, a rich anthology of 15 diverse courses. Each course in the Data Analysis bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisBig Data Analysis, Data Science, Fintech & Python for Data Analyst bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis package your trusted companion in your lifelong learning journey. CPD 35 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Career path Unleash your potential with the Big Data Analysis, Data Science, Fintech & Python for Data Analyst bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Data Analysis bundle package. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Course Overview The SQL, NoSQL, Big Data and Hadoop Level 4 course is designed to provide aspiring data engineers with the skills to fast track their career. It will introduce you to key database and data engineering concepts, taking you through the different classifications of databases and software. You will learn how to build a data-driven organisation step-by-step, best practices for data analysis, how to use Elasticsearch as a search engine, and much more. This course is open to everyone and can be studied on a part-time or full-time basis. It is ideal for anyone looking to work in this field or gain a better understanding of Hadoop from a database perspective. Fast track your career by enrolling today and learn tips and shortcuts from experienced industry professionals. This best selling SQL, NoSQL, Big Data and Hadoop Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth SQL, NoSQL, Big Data and Hadoop Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The SQL, NoSQL, Big Data and Hadoop Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The SQL, NoSQL, Big Data and Hadoop Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the SQL, NoSQL, Big Data and Hadoop Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the SQL, NoSQL, Big Data and Hadoop Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the SQL, NoSQL, Big Data and Hadoop Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Big Data Analytics with PySpark Power BI and MongoDB Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Big Data Analytics with PySpark Power BI and MongoDB Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Big Data Analytics with PySpark Power BI and MongoDB Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Big Data Analytics with PySpark Power BI and MongoDB Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Big Data Analytics with PySpark Power BI and MongoDB? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Big Data Analytics with PySpark Power BI and MongoDB 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Big Data Analytics with PySpark Power BI and MongoDB course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Big Data Analytics with PySpark Power BI and MongoDB does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Big Data Analytics with PySpark Power BI and MongoDB was made by professionals and it is compatible with all PCs, Macs, 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 As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Big Data Analytics with PySpark Power BI and MongoDB is a great way for you to gain multiple skills from the comfort of your home.   Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:03:00 Installing Apache Spark 00:12:00 Installing Java (Optional) 00:05:00 Testing Apache Spark Installation 00:06:00 Installing MongoDB 00:04:00 Installing NoSQL Booster for MongoDB 00:07:00 Section 03: Data Processing with PySpark and MongoDB Integrating PySpark with Jupyter Notebook 00:05:00 Data Extraction 00:19:00 Data Transformation 00:15:00 Loading Data into MongoDB 00:13:00 Section 04: Machine Learning with PySpark and MLlib Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00 Section 05: Creating the Data Pipeline Scripts Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:22:00 Creating the Machine Learning Script 00:24:00 Section 06: Tableau Data Visualization Installing Tableau 00:03:00 Installing MongoDB ODBC Drivers 00:03:00 Creating a System DSN for MongoDB 00:04:00 Loading the Data Sources 00:04:00 Creating a Geo Map 00:11:00 Creating a Bar Chart 00:03:00 Creating a Magnitude Chart 00:07:00 Creating a Table Plot 00:06:00 Creating a Dashboard 00:07:00 Source Code Source Code and Notebook

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step