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