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Hadoop

What is Hadoop ?

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.

HADOOP Online Training Contents

HADOOP OnlineTraining Details

Blog

Introduction

  • What is Hadoop?
  • History of Hadoop
  • Hadoop Basic Concepts
  • Building Blocks – Hadoop Eco-System
  • Who is behind Hadoop?
  • What Hadoop is good for and why it is Good

HDFS

  • Configuring HDFS
  • Interacting With HDFS
  • HDFS Permissions and Security
  • Additional HDFS Tasks
  • HDFS Overview and Architecture
  • HDFS Installation
  • Hadoop File System Shell
  • File System Java API

Mapreduce

  • Map/Reduce Overview(i.e, MRV1, MRV2) and Architecture
  • Installation
  • Developing Map/Red Jobs
  • Input and Output Formats
  • Job Configuration
  • Job Submission
  • Practicing Map Reduce Programs

Advanced Map Reduce Features

  • Custom Data Types
  • Input Formats
  • Output Formats
  • Partitioning Data
  • Reporting Custom Metrics
  • Distributing Auxiliary Job Data
  • Federation
  • High Availability

Distributing Debug Scripts

Using Yahoo Web Services

Pig

  • Pig Overview
  • Installation
  • Pig Latin
  • Pig with HDFS

Hive

  • Hive Overview
  • Installation
  • Hive QL
  • Hive Unstructured Data Analyzation
  • Hive Semi structured Data Analyzation

HBase

  • HBase Overview and Architecture
  • HBase Installation
  • HBase Shell
  • CRUD operations
  • Scanning and Batching
  • Filters
  • HBase Key Design

Zookeeper

  • Zoo Keeper Overview
  • Installation
  • Server Mantainace

Sqoop

  • Sqoop Overview
  • Installation
  • Imports and Exports

Configuration

  • Basic Setup
  • Important Directories
  • Selecting Machines
  • Cluster Configurations
  • Small Clusters: 2-10 Nodes
  • Medium Clusters: 10-40 Nodes
  • Large Clusters: Multiple Racks
  • Integrations

Getting Started With Eclipse IDE

  • Configuring Hadoop API on Eclipse IDE
  • Connecting Eclipse IDE to HDFS

Putting it all together

  • Distributed installations
  • Best Practices

Course Details:

Duration : 30-35 hours (Daily 1 hr to 1 hr 30 minutes)
System Access: 60 days
Session Timings: As per participant convenience
Payment Options: Paypal

Why SRYIT:

We are having ample of experience in HADOOP OnlineTraining . After every session recordings will be provided and soft copy of HADOOP OnlineTraining material will be provided. After the sessions HADOOP Training  project support will be provided. CV preparation will be done with the ongoing clients. We are maintaining the Blogs for every course which will have the blogs related to new concepts.

About the Trainer:

HADOOP  OnlineTraining  will be provided by real time certified consultant. Overall experience of trainer is 8 years. Trainer is having good experience in corporate training. Trainer is an expert in implementation projects and support projects. In the training real time scenarios will be covered which helps the job seeker to handle the projects easily.

Who is Eligible:

Any Graduates/Post Graduates are eligible to learn HADOOP OnlineTraining .
Anyone having knowledge in Data Warehousing technologies.
Freshers/Exp people looking for complete Big Data training
java skilled people, and basic unix knowledge is also required.

To know more details about HADOOP visit our blog

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