HADOOP

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HADOOP Online Training Course Content

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(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

Introduction to Distributed systems

  • High Availability
  • Scaling
  • Advantages

Introduction to Big Data

  • Big Data opportunities
  • Big Data Challenges

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

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

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