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HSR Layout, Bangalore

Course ID: 34683

HSR Layout, Bangalore

Mr. Ram nath picture
Mr. Ram nath
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About the Course









Introduction to Hadoop FS and Processing Environment’s UIs
How to read and write files
Basic Unix commands for Hadoop
Hadoop FS shell
Hadoop releases practical
Hadoop daemons practical
ETL Tool (Pig) Introduction Level-1 (Basics)
Pig Introduction
Why Pig if Map Reduce is there?
How Pig is different from Programming languages
Pig Data flow Introduction
How Schema is optional in Pig
Pig Data types
Pig Commands – Load, Store , Describe , Dump
Map Reduce job started by Pig Commands
Execution plan
ETL Tool (Pig) Level-2 (Complex)
Pig- UDFs
Pig Use cases
Pig Assignment
Complex Use cases on Pig
XML Data Processing in Pig
Structured Data processing in Pig
Semi-structured data processing in Pig
Pig Advanced Assignment
Real time scenarios on Pig
When we should use Pig
When we shouldn’t use Pig
Live examples of Pig Use cases
Hive Warehouse (Introduction to Hive Warehouse and Differentiation between SQL
based Datawarehouse and Hive) Level-1 (Basics)
Hive Introduction
Meta storage and meta store
Introduction to Derby Database
Hive Data types
HQL
DDL, DML and sub languages of Hive
Internal , external and Temp tables in Hive
Differentiation between SQL based Datawarehouse and Hive


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Mr. Ram nath

Bigdata Certified

He holding 10 years + experience in big data industry. He has real time project experience in his hands. Currently he is working for top MNC company. He has trained more than 500 hundred student in big data hadoop technology.

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