Online Hadoop Training

Online Informatica Training organization is specialized in offering online classes for Online Hadoop Training and Data Warehousing. We perform Hadoop training with awfully accomplished and absolute Time experts in the industry along we provide committed specialized computer courses, which has affluence of opportunities in accepted software industry and supports the learners to enhance their ability with up-to-date information. Online Informatica Training provides the Online Hadoop Training to the acceptance in altered concepts and modes to be the basic in the present Job market, with superior & awful accomplished and accepted Industry expert faculty. Our organization proudly announces we improve the trainees in all the areas and abnormally at advanced concepts.

Hadoop Introduction
What is Hadoop?
Why Hadoop and its use cases (Demo part)
Different Components of Hadoop.

HDFS (Hadoop Distributed File System)

  • Significance of HDFS in Hadoop
  • Features of HDFS
  • Daemons of Hadoop
    • NameNode and its functionality
    • DataNode and its functionality
    • JobTracker and its functionality
    • TaskTrack and its functionality
    • Secondary Name Node and its functionality.
  • Data Storage in HDFS
    • Introduction about Blocks
    • Data Replication
  • Accessing HDFS
    • CLI (Command Line Interface) and Admin commands
    • Java Based Approach
  • Hadoop Archives


  • MapReduce architecture
  • MapReduce Programming Model
    • Different phases of Map Reduce Algorithm
    • Different Data types in Map Reduce
    • How to write a basic Map Reduce Program
      • The Driver Code
      • The Mapper
      • The Reducer
    • Joining DataSets in MapReduce jobs – MapJoins and Reduce Joins
    • Creating Input and Output Formats in Map Reduce Jobs
      • Text Input Format
      • KeyValue InputFormat
      • Sequence File Input Format
  • How to debug MapReduce Jobs in Local and Pseudo cluster Mode.
  • Unit Testing MR Jobs.
  • Introduction to MapReduce Streaming and Pipeling
  • Data localization in Map Reduce
  • Combiner(Mini Reducer) and Partioner
  • Distributed Cache
  • Secondary Sorting Using Map Reduce

Apache PIG

  • Introduction to Apache Pig
  • Map Reduce Vs Apache Pig
  • SQL Vs Apache Pig
  • Different datatypes in Pig
  • Modes Of Execution in Pig
  • Local Mode
  • Map Reduce OR Distributed Mode
  • Execution Mechanism
  • Grunt Shell
  • Script
  • Embedded
  • Transformations in Pig
  • How to write a simple pig script
  • UDFs in Pig

  • Hive Introduction
  • Hive architecture
  • Hive Meta Store
  • Hive Integration with Hadoop
  • Hive Query Language(Hive QL)
  • SQL VS Hive QL
  • Hive UDF
  • Hive UDAF
  • Hive
  • Hive SerDe
  • Hive Transform


  • Introduction to Sqoop.
  • MySQL client and Server Installation
  • How to connect to Relational Database using Sqoop
  • Different Sqoop Commands
  • Different flavors of Imports
  • Export
  • Hive-Imports


  • Hbase introduction
  • Hbase usecases
  • Hbase basics
  • Column families
  • Scans
  • Hbase Architecture
  • Clients
  • REST
  • Thrift
  • Java Based
  • Avro
  • Map Reduce Integration
  • Map Reduce over Hbase
  • base Admin
  • Schema Definition
  • Basic CRUD Operations

OOZIE and Flume Introduction.