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Big Data Analytics (2180710)

Teaching Scheme (in Hours)

Theory Tutorial Practical Total
3 0 2 5

Subject Credit :  5

Examination Scheme (in marks)

Theory
ESE (E)
Theory
PA (M)
Practical
ESE Viva (V)
Practical
PA (I)
Total
70 30 30 20 150

Syllabus Content    Download

Unit-1:  INTRODUCTION TO BIG DATA

Introduction– distributed file system–Big Data and its importance, Four Vs, Drivers for Big data, Big data analytics, Big data applications. Algorithms using map reduce

Unit-2:  INTRODUCTION TO HADOOP AND HADOOP ARCHITECTURE

Big Data – Apache Hadoop & Hadoop EcoSystem, Moving Data in and out of Hadoop – Understanding inputs and outputs of MapReduce -, Data Serialization

Unit-3:  HDFS, HIVE AND HIVEQL, HBASE

HDFS-Overview, Installation and Shell, Java API; Hive Architecture and Installation, Comparison with Traditional Database, HiveQL Querying Data, Sorting And Aggregating, Map Reduce Scripts, Joins & Sub queries, HBase concepts, Advanced Usage, Schema Design, Advance Indexing, PIG, Zookeeper , how it helps in monitoring a cluster, HBase uses Zookeeper and how to Build Applications with Zookeeper

Unit-4:  SPARK

Introduction to Data Analysis with Spark, Downloading Spark and Getting Started, Programming with RDDs, Machine Learning with MLlib.

Unit-5:  NoSQL

What is it?, Where It is Used Types of NoSQL databases, Why NoSQL?, Advantages of NoSQL, Use of NoSQL in Industry, SQL vs NoSQL, NewSQL

Unit-6:  Data Base for the Modern Web

Introduction to MongoDB key features, Core Server tools, MongoDB through the JavaScript’s Shell, Creating and Querying through Indexes, Document-Oriented, principles of schema design, Constructing queries on Databases, collections and Documents , MongoDB Query Language.

Reference Books

Sr. Title Author Publication Amazon Link
1 Professional Hadoop Solutions Boris lublinsky, Kevin t. Smith, AlexeyYakubovich Wiley
2 Understanding Big data Chris Eaton,Dirk derooset al. McGraw Hill
3 BIG Data and Analytics Sima Acharya, Subhashini Chhellappan Willey
4 MongoDB in Action Kyle Banker,Piter Bakkum, Shaun Verch Dream tech Press
5 HADOOP: The definitive Guide Tom White
6 Big Data Analyticswith R and Haoop VigneshPrajapati Packet Publishing
7 Learning Spark: Lightning-Fast Big Data Analysis Paperback Holden Karau

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