BIG DATA Hadoop (Development) Training In Noida Delhi NCR

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l l l l Understanding Big data Collecting and cleaning data Traditional approach for processing and its challenges Big data vs Hadoop Big Data – the actual reason for Hadoop CURRICULUM BIG DATA Hadoop (Development) l l l l l l l l Hadoop overview Hadoop components Hadoop distributions Getting started What is HDFS What is Map Reduce Hadoop stack Hands On – Hadoop setup and basic operations An introduction to Hadoop l l l l l l HDFS explained High availability Federation Architecture File system Shell Hands On HDFS l l l l l l l l l Map Reduce flow Hello World Map Reduce API concepts Mapper Reducer Other components – combiner, partitioner, shuffle/sort Hadoop 1.x vs 2.x Hadoop streaming API Hands on with Eclipse Map Reduce l l l l l l Architecture Scheduler Resource Manager (RM) RM HA YARN commands Hands On with YARN applications YARN

Transcript of BIG DATA Hadoop (Development) Training In Noida Delhi NCR

Page 1: BIG DATA Hadoop (Development) Training In Noida Delhi NCR

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Understanding Big data

Collecting and cleaning data

Traditional approach for processing and its challenges

Big data vs Hadoop

Big Data – the actual reason for Hadoop

CURRICULUM

BIG DATAHadoop (Development)

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Hadoop overview

Hadoop components

Hadoop distributions

Getting started

What is HDFS

What is Map Reduce

Hadoop stack

Hands On – Hadoop setup and basic operations

An introduction to Hadoop

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HDFS explained

High availability

Federation

Architecture

File system Shell

Hands On

HDFS

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Map Reduce flow

Hello World

Map Reduce API concepts

Mapper

Reducer

Other components – combiner, partitioner, shuffle/sort

Hadoop 1.x vs 2.x

Hadoop streaming API

Hands on with Eclipse

Map Reduce

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Architecture

Scheduler

Resource Manager (RM)

RM HA

YARN commands

Hands On with YARN applications

YARN

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RDBMS interaction using Sqoop

Workflow management using Oozie

Back office jobs with Zookeeper

Hands On with actual data sets

Integrating Hadoop into the Workflow

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Unstructured data using PIG

Structured data mining using hive

Hands On with actual data sets

Data Mining

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Problem with SQL Database

Introduction to NOSQL

Hands On Exercises

Introduction to HBASE

Column Families

Delving deeper into HBASE

HBASE Architecture

HBASE Hands-On Exercises

HBASE

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More about ToolRunner

Testing with MRUnit

Reducing Intermediate Data With Combiners

The configure and close methods for Map/Reduce Setup and Teardown

Writing Partitioners for Better Load Balancing

Hands-On Exercise

Directly Accessing HDFS

Using the Distributed Cache

Delving Deeper Into the Hadoop API

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Debugging MapReduce Code

Using LocalJobRunner Mode for Easier Debugging

Retrieving Job Information with Counters

Logging

Splittable File Formats

Determining the Optimal Number of Reducers

Map-Only MapReduce Jobs

Hands-On Exercise

Practical Development Tips and Techniques

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Map-Side Joins

The Secondary Sort

Reduce-Side Joins

Joining Data Sets in MapReduce

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