1. HADOOP INTRODUCTION
What is Hadoop?
History of Hadoop
Building Blocks – Hadoop Eco-System
Who is behind Hadoop?
What Hadoop is good for and why it is Good

2. 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

3.MAPREDUCE
Map/Reduce Overview and Architecture
Installation
Developing Map/Red Jobs
Input and Output Formats
Job Configuration
Job Submission
Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )

4.Getting Started With Eclipse IDE
Configuring Hadoop API on Eclipse IDE
Connecting Eclipse IDE to HDFS

5.Hadoop Streaming

6.Advanced MapReduce Features

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

7.Distributing Debug Scripts

8.Using Yahoo Web Services

9.Pig
Pig Overview
Installation
Pig Latin
Pig with HDFS

10. Hive
Hive Overview
Installation
Hive QL
Hive Unstructured Data Analyzation
Hive Semistructured Data Analyzation

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

12.ZooKeeper
Zoo Keeper Overview
Installation
Server Mantainace

13.Sqoop
Sqoop Overview
Installation
Imports and Exports

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

15.Integrations

16.Putting it all together
Distributed installations
Best Practices