The ‘Introduction to Big Data and Hadoop’ is an ideal course for individuals who want to understand the basic concepts of Big Data and Hadoop. The course focuses on the basics of Big Data and Hadoop. It further provides an overview of the commercial distributions of Hadoop as well as the components of the Hadoop ecosystem.
•Optimize business decisions and create competitive advantage with Big Data analytics.
•To introduce programming tools PIG & HIVE in Hadoop echo system.
• Preparing for data summarization, query, and analysis.
Introduction:Data structures in Java: Linked List, Stacks, Queues, Sets, Maps; Generics: Generic classes and Type parameters, Implementing Generic Types, Generic Methods, Wrapper Classes, Concept of Serialization.
Working with Big Data: Google File System, Hadoop Distributed File System (HDFS) – Building blocks of Hadoop (Namenode, Datanode, Secondary Namenode, JobTracker, TaskTracker), Introducing and Configuring Hadoop cluster (Local, Pseudo-distributed mode, Fully Distributed mode), Configuring XML files.
Refrences:Hadoop: The Definitive Guide by Tom White, 3rd Edition, O’reilly Hadoop in Action by Chuck Lam, MANNING Publ.
Pig: Hadoop Programming Made Easier Admiring the Pig Architecture, Going with the Pig Latin Application Flow, Working through the ABCs of Pig Latin, Evaluating Local and Distributed Modes of Running Pig Scripts, Checking out the Pig Script Interfaces, Scripting with Pig Latin.
Hadoop in Action by Chuck Lam, MANNING Publ.
Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk,Bruce Brown, Rafael Coss .
Hadoop in Practice by Alex Holmes, MANNING Publ.