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1. HADOOP ONLINE TRAINING
WEL COME TO

2. Introduction:
 Basics of Hadoop Admin Course Content
 Motivation for Hadoop
 Large scale system training
 Survey of data storage literature
 Literature survey of data processing
 Networking constraints
 New approach requirements

3.  Basic concepts of Hadoop
 What is Hadoop
 Distributed file system of Hadoop
 Map reduction of Hadoop works
 Hadoop cluster and its anatomy
 Hadoop demons
 Master demons
 Name node

4. Hadoop Development :
 Writing a Map Reduce Program
 Sample the map reduce program.
 API concepts and their basics
 Driver code
 Mapped
 Reducer

5. HADOOP ANALYST
1.Concepts of Hive
2. Hive and its architecture
3. Install and configure hive on cluster
4. Type of tables in hive
5. Functions of Hive library
6. Buckets

7. 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.

9. By
It Hub Online Training
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