Current Affairs Summary 2015

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.

Audience

This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.

Prerequisites

Before you start proceeding with this tutorial, we assume that you have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.

Hadoop Environment

The most difficult task in learning Hadoop is to setup its environment. To simplify your learning, we have setup required Hadoop environment online, where you can see all the required process running and you can execute all the Hadoop and HDFS Shell commands at command prompt. You can write your MapReduce programs and execute them online: Launch Hadoop Terminal