HADOOP

Hadoop

Course highlights :

Indepth personalized training

Extensive curriculum

World class lab ( Development on standalone system and 

distributed clusters)

Real time scenarios

Indepth Documentation with real time references for 

reference.

Hadoop course content:

• Introduction to Distributed systems 

High Availability 

Scaling 

Advantages

• Introduction to Big Data 

Big Data opportunities 

Big Data Challenges

• Introduction to Hadoop 

Hadoop Distributed File System 

Hadoop Architecture 

Map Reduce & HDFS

• Hadoop Eco Systems 

Introduction to Pig 

Introduction to Hive 

Introduction to HBase 

Other eco system Map

• Hadoop Administration 

Hadoop Installation & Configuration 

Setting up Standalone system 

Setting up pseudo distributed cluster 

Setting up distributed cluster

• The Hadoop Distributed File System (HDFS) 

HDFS Design & Concepts

Blocks, Name nodes and Data nodes

Hadoop DFS The Command-Line Interface 

Basic File System Operations 

Reading Data from a Hadoop URL 

Reading Data Using the File System API

• Map Reduce 

Map and Reduce Basics. 

How Map Reduce Works 

Anatomy of a Map Reduce Job Run 

Job Submission, Job Initialization, Task Assignment, Task Execution 

Progress and Status Updates 

Job Completion, Failures 

Shuffling and Sorting. 

Combiner 

Hadoop Streaming

• Map/Reduce Programming - Java 

Hands on "Word Count" in Map/Reduce in Eclipse 

Sorting files using Hadoop Configuration API discussion  

Emulating "grep" for searching inside a file in Hadoop 

Chain Mapping API discussion 

Job Dependency API discussion and Hands on 

Input Format API discussion and hands on 

Input Split API discussion and hands on 

Custom Data type creation in Hadoop

Discussion on some business use cases

Ecosystem includes the below :

Hive

Pig

HBase

Sqoop

Flume

Oozie 

Call Us : 0801-987-1850

Mail Us :infoprofessionalonlinetraining@gmail.com