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<!DOCTYPE html>
<html>
<head>
<title>BIG DATA</title>
<style>
div{
background-color:orange;}
div{
border-style: solid;
border-width: 10px;
border-color: black;
}
</style>
</head>
<body>
<div>
<h1 align="center" style="color:green">INTRODUCTION TO BIG DATA</h1></br>
<h1>SYLLABUS</h1></br>
<h2>Course Objectives:</h2></br>
<h4>
1.To understand Big Data Analytics for different systems like Hadoop.</br>
2.To learn the design of Hadoop File System.</br>
3.To learn how to analyze Big Data using different tools.</br>
4.To understand the importance of Big Data in comparison with traditional
databases.</h4></br>
<h2>Unit-1:</h2></br><h4> Distributed programming using JAVA: Quick Recap and advanced Java
Programming: Generics, Threads, Sockets, Simple client server Programming using
JAVA, Difficulties in developing distributed programs for large scale clusters and
introduction to cloud computing.</h4></br>
<h2>Unit-2:</h2></br><h4> Distributed File systems leading to Hadoop file system, introduction, Using
HDFS, Hadoop Architecture, Internals of Hadoop File Systems.</h4></br>
<h2>Unit-3:</h2></br><h4> Map-Reduce Programming: Developing Distributed Programs and issues, why
map- reduce and conceptual understanding of Map-Reduce programming, Developing
Map-Reduce programs in Java, setting up the cluster with HDFS and understanding
how Map- Reduce works on HDFS, Running simple word count Map-Reduce program
on the cluster, Additional examples of M-R Programming.</h4></br>
<h2>Unit-4:</h2></br><h4> Anatomy of Map-Reduce Jobs: Understanding how Map- Reduce program
works, tuning Map-Reduce jobs, Understanding different logs produced by Map-Reduce
jobs and debugging the Map- Reduce jobs.</h4></br>
<h2>Unit-5:</h2></br><h4> Case studies of Big Data analytics using Map-Reduce programming: K-Means
clustering, using Big Data analytics libraries using Mahout.</h4></br>
<h2>Text Books:</h2></br>
<h4>1. JAVA in a Nutshell 4th Edition.</br>
2. Hadoop: The definitive Guide by Tom White, 3rd Edition, O'reily.</h4></br>
<h2>References:</h2></br><h4>
1. Hadoop in Action by Chuck Lam, Manning Publications.</h4>
<a href="bdtext.htm"
title="next page">
<h1 align="center" style="color:black">click here for material</h1></a>
</div>
</body>
</html>