Big Data Analytics

Contents: 1.Introduction to Big Data Analytics 2.Data Analytics Life Cycle 3.Introduction to R 4.NoSQL 5.Hadoop 6.Introduction to Preprocessing 7.Theory and Methods: Association Rules 8.Theory and Methods: Clustering 9.Regression 10.Classification 11.Time Series Analysis 12.Theory and Methods—Text Analysis 13.Mining Data Streams 14.NoSQL Databases—Neo4j and MongoDB 15.Big Data Technology and Tools—Spark and Storm 16.Big Data Infrastructure 

Big Data Analytics presents a comprehensive treatment of the subject for undergraduate and postgraduate students of computer science and engineering, information technology, and other related disciplines.

The book has been written to cover the basics of analytics before moving to big data and its analytics. It seeks to translate the theory behind big data into principles and practices for a data analyst.