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Hadoop online training in India

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CRS Info solutions is one of the best institute with good repetition for online training. We are happy to provide big data hadoop online training to our students from all over the world. Our students are from United States of America, UK, Europe, Dubai, Singapore, Australia like wise from all parts of the globe students are attending to our demos and joining in our hadoop coaching without delay. – PowerPoint PPT presentation

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Title: Hadoop online training in India


1
Hadoop Online Training
  • By CRS Info Solutions

2
Course Overview
  • CRS Info solutions is one of the best institute
    with good repetition for online training. We are
    happy to provide big data hadoop online
    training to our students from all over the world.
    Our students are from United States of America,
    UK, Europe, Dubai, Singapore, Australia like wise
    from all parts of the globe students are
    attending to our demos and joining in our hadoop
    coaching without delay
  • We want to keep it simple and professional, our
    trainers are also follows same principles. They
    are friendly, having real time experience and
    they will spend time to clarify your doubts. That
    is only we expect first priority is to
    provide professional online training and second
    thing is friendly support throughout the course
    duration.

3
Advantages of Hadoop online
  • Our Online Training program provides you the
    command and knowledge about Big Data Hadoop. We
    will train you to become a Professional Hadoop
    Admin Developer. Our Big Data Hadoop online
    training is providing the excellent Hadoop Online
    Lessons by real time industry experts. Our course
    is inspirational all aspiring professionals who
    wants to make their career in Big Data Analytics
    using Hadoop Framework and excel in all its
    related areas.

4
Course Content
  • Introduction to Big Data and AnalyticsIntroduc
    tion to HadoopHadoop ecosystem
    ConceptsHadoop Map-reduce concepts and
    featuresDeveloping the map-reduce
    ApplicationsPig conceptsHive conceptsSqoop
    conceptsFlume ConceptsOozie workflow
    conceptsImpala ConceptsHue ConceptsHBASE
    ConceptsZooKeeper ConceptsReal Life Use Cases

5
  • Reporting Tool
  • Virtualbox/VM WareBasicsInstallationsBackupsSn
    apshots
  • Linux
  • Basics
  • Installations
  • Commands
  • Hadoop
  • Why Hadoop?
  • Scaling
  • Distributed Framework
  • Hadoop v/s RDBMS
  • Brief history of hadoop
  • Setup hadoop
  • Pseudo mode,Cluster modeIpv6Ssh

6
  • Installation of java, hadoopConfigurations
    of hadoopHadoop Processes ( NN, SNN, JT, DN,
    TT)Temporary directoryUICommon errors when
    running hadoop cluster, solutions
  • HDFS- Hadoop distributed File SystemHDFS Design
    and ArchitectureHDFS ConceptsInteracting HDFS
    using command lineInteracting HDFS using Java
    APIsDataflowBlocksReplica
  • Hadoop ProcessesName nodeSecondary name
    nodeJob trackerTask trackerData node

7
  • Map ReduceDeveloping Map Reduce
    ApplicationPhases in Map Reduce FrameworkMap
    Reduce Input and Output FormatsAdvanced
    ConceptsSample ApplicationsCombiner
  • Joining datasets in Mapreduce jobsMap-side
    joinReduce-Side join
  • Map reduce customizationCustom Input format
    classHash PartitionerCustom PartitionerSorting
    techniquesCustom Output format class

8
  • Hadoop Programming Languages 
  • I. HIVEIntroductionInstallation and
    ConfigurationInteracting HDFS using HIVEMap
    Reduce Programs through HIVEHIVE
    CommandsLoading, Filtering, Grouping.Data
    types, Operators..Joins, Groups.Sample
    programs in HIVE
  • II. PIGBasicsInstallation and
    ConfigurationsCommands.OVERVIEW HADOOP
    DEVELOPER

9
  • Training Highlights
  • Focus on Hands on training
  • Necessary Assignments
  • Live Case Studies
  • HADOOP Certification Guidance.
  • Introduction to HADOOP and BIG DATA
  • Covers All Important HADOOP Ecosystem Products.

10
Contact Us
  • CRS Info Solutions
  • Visit www.crsinfosolutions.com/hadoop/
  • Hadoop Online Training
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