Big data

Bibliographic details

ISBN

9789352605026

Publisher

McGraw Hill

Publication place

Chennai

Publication year

2017

Language

English

Material type

Book

Physical description

xv, 236 pages

Summary

This book is meant for students, as well as executives, who wish to take advantage of emerging opportunities in Big Data. It provides an intuition of the wholeness of the field in a simple language, free from jargon and code. All the essential Big Data technology tools and platforms such as Hadoop, MapReduce, Spark, and NoSql are discussed. The short chapters make it easy to quickly understand the key concepts. A complete case study of developing a Big Data application is included. Chapter1. Wholeness of Big Data Chapter2. Big Data Sources and Applications Chapter3. Big Data Architectures Chapter4. Distributed Computing using Hadoop Chapter 5. Parallel Processing with MapReduce Chapter6. NoSQL Databases Chapter7. Stream Processing with Spark Chapter8. Ingesting Data Chapter9. Cloud Computing Chapter10. Web Log Analyzer Application Case Study Chapter11. Data Mining Primer Chapter 12 Big Data Programming Primer Appendix 1 Installing Hadoop Using Cloudera on Virtual Box Appendix 2 Installing Hadoop on Amazon Web Services, Elastic Computing Cluster Appendix 3 Spark Installation and Tutorial

Subjects

Computers, Data mining, Big data, Information services