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Database Design & Development
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Hadoop 3 Big Data Processing Hands On [Intermediate Level]

Learn Hadoop 3, Hadoop 3 Features,Hadoop 3.0 Setup,Hadoop 3x Cluster,Setup Virtual Machine,Linux,Hadoop Schedule

     
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₹519
Hadoop 3 Big Data Processing Hands On [Intermediate Level]

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  • icon4.4 (13 reviews )
  • icon6h 33m
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About Hadoop 3 Big Data Processing Hands On [Intermediate Level]

THIS COURSE IS NOT FOR BEGINNERS

If you are a Big Data Enthusistic then you must know about Hadoop. In this course, we will discuss every corner of Hadoop 3.0

What is Hadoop?

Hadoop is an Opensource Component which is a part of the Apache foundation, it is a Java-Based framework for data storage and processing of Large Datasets in a distributed environment using commodity hardware.

In this course you will learn :

Introduction to Big Data Introduction to Hadoop Introduction to Apache Hadoop 1x - Part 1 Why we need Apache Hadoop 3.0? The motivation of Hadoop 3.0 Features of Hadoop 3.0 Other Improvements on Hadoop 3.0 Pre-requistics of Lab Setting up a Virtual Machine Linux fundamentals - Part 1 Linux Users and File Permissions Packages Installation for Hadoop 3x Networking and SSH connection Setup the environment for Hadoop 3x Inside Hadoop 3x directory structure EC Architecture Extensions Setting up Hadoop 3x Cluster Cloning Machines and Changing IP Formatting Cluster and Start Services Start and Stop Cluster HDFS Commands Erasure Coding Commands Running a YARN application Cloning a machine for Commissioning Commissioning a node Decommissioning a node Installing Hive on Hadoop Working with Hive Types of Hadoop Schedulers Typical Hadoop Production Environment

What You Will Learn?

  • A Short Crispy Introduction to Big Data & Hadoop .
  • Why we need Apache Hadoop 3.0? .
  • Features of Hadoop 3.0 .
  • Setting up Virtual Machine .
  • Linux Fundamentals .
  • Linux Users and File Permissions .
  • Packages Installation for Hadoop 3x .
  • Networking and SSH connection .
  • Multi-node Hadoop 3.0 Installation/Configuration .
  • EC Architecture Extensions .
  • Setting up Hadoop 3x Cluster .
  • Cloning Machines and Changing IP .
  • Formatting Cluster and Start Services .
  • Start and Stop Cluster .
  • Hadoop Administrative / Cluster Test .
  • HDFS Commands .
  • Erasure Coding Commands .
  • Running a YARN application .
  • Cloning a machine for Commissioning .
  • Commissioning a node .
  • Decommissioning a node .
  • Installing Hive on Hadoop .
  • Working with Hive .
  • Types of Hadoop Schedulers .
  • Typical Hadoop Production Environment Show moreShow less.