HADOOP(Big data)

Pre-Requisites :

Understanding of Linux FileSystem Operations
OOPS Concepts, JAVA Programming
Basics of Virtualization, VMware WorkStation.

Big data

History of Hadoop & Big Data.
Understanding distributed systems and Hadoop
Comparing SQL databases and Hadoop
Understanding MapReduce
Starting Hadoop
The building blocks of Hadoop
Setting up SSH for a Hadoop cluster
Running Hadoop
Web-based cluster UI
Working with files in HDFS
Anatomy of a MapReduce program
Reading and writing
Writing basic MapReduce programs
Constructing the basic template of a MapReduce program

Managing Hadoop
Setting up parameter values for practical use
Checking system’s health
Enabling trash
Removing DataNodes
Adding DataNodes
Managing NameNode and Secondary NameNode
Recovering from a failed NameNode
Designing network layout and rack awareness

Programming with Pig
Installing Pig
Running Pig
Learning Pig Latin
Working with scripts
Seeing Pig in action—example of computing similar patents

Installing Hive
Learning Hive

Importing Data from Traditional RDBMs
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