The key objectives of this online Big Data Hadoop Tutorial and training program are to enable developers to: Programming in YARN (MRv2) latest version of Hadoop Release 2.0 Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Advance Map Reduce exercises – examples of Facebook sentiment analysis , LinkedIn shortest path algorithm, Inverted indexing. Derive an insight into the field of Data Science Understand the Apache Hadoop framework Learn to work with Hadoop Distributed File System (HDFS) Implement Multi node cluster using 3-4 instances of Amazon ec2. Learn how MapReduce interacts with data and processes them Ability to design and develop applications involving large data using Hadoop eco system. Differentiate between new as well as old APIs for Hadoop Understand how YARN engages in managing compute resources into clusters Last but not the least, the Hadoop online tutorial program prepares programmers for better career opportunities in the world of Big Data!

1. RELATIONAL DATA ANALYSIS WITH HIVE
 Hive Databases and Tables
 Basic HiveQL Syntax
 Data Types
 Joining Data Sets
 Common Built-in Functions
 Hands-On Exercise: Running Hive Queries on the
Shell, Scripts, and Hue

2. HIVE - DATABASES
 Create Database
 Observe warehouse and meta store
 Few Commands

3. TABLES
 Create Table
 View Meta Information of a table
 Alter a table .
 Dropping a table.
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