Best Hadoop training in Bangalore

The objective of the programme is to train students in the field of hadoop to be able to meet the rapidly changing requirements of the industry.

Course outline
Introduction to Hadoop
  • What is Hadoop,
  • History of Hadoop
  • How Hadoop name was given
  • Problems with Traditional Large-Scale Systems and Need for Hadoop
  • Where Hadoop is being used
  • Understanding distributed systems and Hadoop
  • Hands-On Exercise: Using HDFS commands
  • Distributed computing
  • Parallel computing
  • Concurrency
  • Data Past, Present and Future
  • Computing Past, Present and Future
  • NoSQL
  • Hadoop Streaming
  • Distributing Debug Scripts
  • Getting Started With Eclipse

Hadoop Stack • Hive and Pig • HDFS

Lab 1: Hadoop Hands-on
• Installing Hadoop Single Node cluster(CDH4)
• Understanding Hadoop configuration files

HDFS Introduction
• Architecture
• File System
5 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.

• How MapReduce Works
• Data flow in MapReduce
• Map operation
• Reduce operation
• MapReduce Program In JAVA using Eclipse
• Counting words with Hadoop—Running your first program
Writing MapReduce Drivers, Mappers and Reducers in Java
• Creating Input and Output Formats in
Map Reduce Jobs
 Text Input Format
 KeyValue InputFormat
 Sequence File Input Format

• Real-world "MapReduce" problems
• MapReduce Job
• Java WordCount Code Walkthrough
• How to debug MapReduce Jobs in Local and Pseudo cluster Mode.
• Combiner(Mini Reducer) and Partioner

    • MapReduce Example : WordCount
    • MapReduce example : WordCount3
    • MapReduce Example : WordCount2
    • Hadoop mapreduce programming in java Max Word Length
    • number of employees in the organization
    • Minimum salary of the organization
    • Maximum salary of the organization
    • Average salary of the organization
    • Total salary of the organization
    • For each gender group , Number of employees
    • For each department number , what is average salary
    • For each city , what is total salary
    • For each gender group , what is total salary
    • Filtering rows using MapReduce (Map only)
    • Filtering Columns Using MapReduce (Map Only)
    • Generating new Columns Using Map Reduce (Map Only)
    • Performing Transformations Using MapReduce (Map Only)
    • Map Reduce example : Number of words per each line
    • Multiple input files

    • Sqoop
    • Hive
    • Pig
    • HBase

    • Installing Sqoop
    • Configure Sqoop
    • Import RDBMS data to Hive using Sqoop
    • Export from to Hive to RDBMS using Sqoop
    • Hands-On Exercise: Import data from RDBMS to HDFS and Hive
    • Hands-On Exercise: Export data from HDFS/Hive to RDBM
    • Updating an Existing Data Set
    • Exporting into a subset of columns
    • Transferring an Entire Table
    • Specifying a Target Directory
    • Importing only a Subset of data
    • Protecting your password
    • Using a file format other than CSV
    • Compressing Imported Data
    • Controlling Parallelism • Importing all your tables
    Why System Domain
  • Our trainers are specially trained to evaluate the strengths and weaknesses of a student and training them accordingly.
  • High number of placement offers from reputed companies.
  • Special weekend batches to ensure that no one is left behind
  • Our program aims to ensure your all round development by organizing seminars and group discussions on personality development, interview tips and presentations
System Domain