What is hadoop?

Hadoop is a platform written in java where we can able to process large amount of data. Hadoop eco system has lots of tools which make processing the bigdata made easy.

Let’s learn how to do that end to end..!!

Module 1: Introduction to Hadoop World:

  • ….Bigdata..!
  • What is bigdata? 3 + 1 V’s.
  • What is Hadoop , why hadoop& Its history.
  • Hadoop Eco System an overview. (HDFS,MAPREDUCE,SQOOP,FLUME,PIG,HIVE,OOZIE,HBASE..etc)
  • Current Requirements and Future possibilities in Hadoop.
  • RDBMS vsHadoop
  • .Finally what hadoop is not?
  • Do we need java to learn hadoop?
  • Hadoop installation

Module 2: Hadoop Architecture In-depth travel:

  • HDFS – An introduction.
  • How data is stored in hdfs? (Travel of a byte).
  • Hadoop Daemons:
    • Name node.
    • Data node.
    • Job Tracker.
    • Task tracker.
  • Fault tolerance in hadoop.
  • HA mode in HDFS.
  • How files are handled in projects (sample Project Scenario Execution)

Module 3: Map Reduce 1.0.

  • Mapreduce history.
  • How Map Reduce is being used in Projects.
  • Mapreducearchitecture,Key-Value pair.
  • Java Implementation of map reduce. (Sample POC)
  • Mapper, Reducer, Combiner Different combination.

Module 4: Pig & Hive.

  • Hive introduction.
  • Hive data model.
  • Hive implementation of sample project.
  • Pig Introduction.
  • Pig Data structure.
  • Pig Implementation on sample project.
  • How pig & hive is used in real time project?
  • Module 4 assignment.

Module 5: Sqoop& Flume.

  • Flume introduction.
  • Flume configuration.
  • Flume sample Project.
  • Sqoop Introduction.
  • Sqoop configuration.
  • Sqoop Sample project.

Module 6: Introduction to Spark:

  • Welcome to the world of Spark.
  • Bye ByeHadoop? (HadoopVs Spark).
  • Spark Components:
    • Spark Core
    • Spark SQL
    • Graphx
    • Mlib
  • Spark Use cases in real time.

After this class you will be able to,

  • Have in-depth knowledge about hadoop.
  • Have hands-on experience on hadoop.
  • Complete a project on hadoop independently.
  • Know how to switch career to hadoop from any other technology.

DEMO VIDEO

HADOOP INTRODUCTION

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