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Bigdata Hadoop Online Training in Bangalore, India | Hadoop Online coaching cost and certification in Bangalore, India

Our trainers are fully experienced in software field with various technologies and having tremendous skills in Hadoop. So you will get the best Bigdata Hadoop Online Training from us.

We provide both Hadoop Development and Admin Training.

1.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

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