COURSE BROCHURE. Big Data Foundation Training & Certification

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1 COURSE BROCHURE Big Data Foundation Training & Certification

2 What is Big Data Foundation? The Big Data Foundation certification is designed to provide candidates with a well-rounded understanding of big data. It covers the potential data sources that can be used for solving real business problems and an overview of data mining and the tools used in it. This is a fundamental course with practical, hands-on, exercises to experience using two of the most popular technologies in big data processing Hadoop and MongoDB. Candidates will get the opportunity to practice installing these two technologies through lab exercises. The course exposes candidates to real-life big data technologies with the purpose of obtaining results from real datasets, including major social media platforms. After completing the course, candidates will be equipped with fundamental big data knowledge, and introduced to a working development environment containing Hadoop and MongoDB, installed by them. This practical knowledge can be used as a starting point in the journey into big data. Who Should Attend? This course is best suited to IT professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of big data. These include: Software Engineers Application Developers IT Architects System Administrators Data Analysts and Scientists

3 Benefit of Big Data Foundation This course will establish the foundation for professionals to work with structured and unstructured data and glean value-adding insights. They will have gained: A detailed understanding of Big Data and Data Mining concepts. Ability to identify and obtain relevant datasets when looking at a business problem. Ability to install and manage Big Data processing environments based on Hadoop or MongoDB at a departmental level. Learning Objectives Individuals certified at this level will have demonstrated their understanding of: Big Data fundamentals Big Data technologies Big Data governance Available sources of Big Data Data Mining, its concepts and some of the tools used for Data Mining Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios

4 Course Contents Module 1. Big Data Fundamentals 1.1 Big Data History, Overview, and Characteristics History Big Data Definition Big Data Benefits Big Data Characteristics Volume, Velocity& Variety 1.2 Big Data Technologies Overview 1.3 Public Data Sources 1.4 Big Data Privacy and Ethics Privacy Compliance Privacy Challenges Privacy Approach Ethics 1.5 Big Data Projects Who Should Be Involved? What Is Involved? Module 2. Big Data Sources 2.1 Enterprise Data Sources Enterprise Systems Oracle SAP Microsoft Data Warehouses Unstructured Data Unstructured Data Metadata 2.2 Social Media Data Sources Facebook Facebook Public Feed API Facebook Keyword Insights API Facebook Graph API Twitter Twitter Streaming APIs Twitter REST APIs Other Social Media 2.3 Public Data Sources Weather Economics Finance Regulatory Bodies Module 3. Data Mining Concepts and Tools 3.1 Data Mining Types of Data Mining Overview Types of Data Mining Classification Types of Data Mining Association Types of Data Mining Clustering 3.2 Data Mining Tools Weka Modules of Weka Applications KNIME KNIME Example R Language Module 4. Big Data Technologies Hadoop 4.1 Hadoop Fundamentals Main Components of Hadoop Additional Components of Hadoop 4.2 Install and Configure Download How to Install and Configure 4.3 MapReduce How Does It Work? 4.4 Data Processing with Hadoop Twitter Sentiment Analysis Overview Twitter Sentiment Analysis Algorithm Network Log Analysis Overview Network Log Analysis Algorithm

5 Course Contents Module 5. Big Data Technologies MongoDB 5.1 MongoDB Fundamentals Replication Sharding Sharding and Replication MongoDB Ecosystem Languages and Drivers MongoDB Ecosystem Hadoop Integration MongoDB Ecosystem Tools 5.2 Install and Configure Download How to Install and Configure 5.3 Document Databases Documents Document Design Considerations Fields 5.4 Data Modelling with Document Databases Twitter Sentiment Analysis Twitter Sentiment Analysis Algorithm Network Log Analysis Network Log Analysis Algorithm

6 Certification Big Data Foundation Certification Information: Exam Duration: 60 Minutes No of questions: 40 Exam Format: Multiple Choice Exam Pass Mark: 65% Delivery : Online Supervised (Proctored) :Yes (Web/Live) Electronic Devices Permitted: No Open Book: No Additional Time Provisions : Provisions 15 minutes additional time for candidates who speak English as a second language. Prerequisite There are no required prerequisites. We recommend that participants possess intermediate to advanced programming, system administration, or relational database skills to understand the concepts in this certification. Contact Us USA Office : India Office: info@wiselearner.com