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Hadoop Course Content
MODULE 1- INTRODUCTION TO BIG DATA
What is Big Data? Examples of Big Data Reasons of Big Data Generation Why Big Data deserves your attention Use cases of Big Data Different options of analyzing Big Data
MODULE 2- INTRODUCTION TO HADOOP
What is Hadoop, History of Hadoop How Hadoop name was given Problems with Traditional Large-Scale Systems and Need for Hadoop Where Hadoop is being used Understanding distributed systems and Hadoop RDBMS and Hadoop
MODULE 3- STARTING HADOOP
Setup single node hadoop cluster Configuring Hadoop Understanding Hadoop Architecture Understanding hadoop configuration files Hadoop Components- HDFS, MapReduce Overview Of Hadoop Processes Overview Of Hadoop Distributed File System
Namenodes Datanodes The Command-Line Interface
The building blocks of Hadoop Running Hadoop Hands-On Exercise: Using HDFS commands
MODULE 4- MAPREDUCE
How MapReduce Works
Data flow in MapReduce Map operation Reduce operation
MapReduce Program In JAVA using Eclipse Counting words with Hadoop—Running your first program Writing MapReduce Drivers, Mappers and Reducers in Java Real-world "MapReduce" problems
Hands-On Exercise: Writing a MapReduce Program and Running a MapReduce Job
Real time POC from industry experts Project discussion and solutions
MODULE 5- HIVE
Introduction to Apache Hive Architecture of Hive Installing Hive Types of Tables in Hive Partitions Buckets Hive-HQL Query execution Hands-On Exercise: Hive Programming
MODULE 6- PIG
Introduction to Apache Pig Install Pig Pig architecture Pig Latin - Reading and writing data using Pig Hands-On Exercise: Programming with pig, Load data, execute data processing
statements.
MODULE 7-SQOOP
Introduction to Sqoop Import data from RDBMS to HDFS Export Data from HDFS to RDBMS Data migration from ETL platform to Hadoop
MODULE 8-HBASE
Introduction of HBase Installation to HBase CRUD Operation of HBase with Examples REST API with HBase and Examples MapReduce Integration with HBase and Examples
Overview session on Flume, Oozie and ZooKeeper