Hadoop Online Training Classes By Real-Time Experts @ Psntrainings

Course Name: Hadoop Online Training                    24*7 Technical Support (+91 8686029160)

Course Duration: 35 hours                                        Email:contact@psntrainings.com

Faculty: Real-time Expert

Psntrainings offers Hadoop online and classroom training in Hyderabad, Bangalore, Chennai, India, USA, UK with real time Experts, Psn Trainings offers a comprehensive portfolio of technical training and education services designed for individuals, companies, and public organizations to acquire, maintain, and optimize their IT skills. Hadoop online/classroom training is job oriented, after completion of Hadoop training our team will be supporting you. Please contact for Hadoop online training demo +91 8686029160 or mail contact@psntrainings.com

History of Hadoop:

Developer(s)              ->               Apache Software Foundation

Stable release             ->               1.2.1 / August 1, 2013[1]

Preview release          ->                2.0.5-alpha / June 4, 2013[1]

Development status   ->                 Active

Written in                   ->                 Java

Operating system       ->                 Cross-platform

Type                            ->                 Distributed File System

License                        ->                 Apache License 2.0

Who uses Hadoop?

       .    Amazon/A9

• Face book
• Google
• IBM
• Joost
• Last.fm
• New York Times
• Power Set
• Veoh
• Yahoo! etc..

INTRODUCTION

• Java Basics
• Introduction to Hadoop
• History of Hadoop
• Building Blocks - Hadoop Eco-System
• Who is Behind Hadoop?
• What Hadoop is good for and what it is not
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HDFS (Hadoop Distributed File System)

• 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

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MAP REDUCE

• Map/Reduce Overview and Architecture
• Installation
• Developing Map/Red Jobs
• Input and Output Formats
• Job Configuration
• Job Submission
• Practicing Map Reduce Programs (at least 10 Map Reduce Algorithms)

Getting Started With Eclipse IDE

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

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Hadoop Streaming

Advanced Map Reduce Features

• Custom Data Types
• Input Formats
• Output Formats
• Partitioning Data
• Reporting Custom Metrics
• Distributing Auxiliary Job Data
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Distributing Debug Scripts

Using Yahoo Web Services

Pig

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

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Hive

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

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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

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CONFIGURATION

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

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Integrations

Putting it all together

• Distributed installations
• Best Practices

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