Big Data Computing: A Guide for Business and Technology Managers

Vivek Kale

December 1, 2016 by Chapman and Hall/CRC
Reference - 495 Pages - 46 B/W Illustrations
ISBN 9781498715331 - CAT# K25337
Series: Chapman & Hall/CRC Big Data Series

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Features

  • Enables IT managers and business decision makers to gain a clear understanding of what Big Data Computing really means, what it might do for them and when it is practical
  • Gives an introduction to the database solutions that were a first step toward enabling a data-based enterprise. Also gives a detailed description of Data Warehousing related solutions that paved the road to Big Data Computing solutions
  • Addresses the key differentiator of Big Data Computing environments, namely, that Big Data Computing systems combine the power of elastic infrastructure and information management with the ability to analyze and discern recurring patterns in the colossal pools of operational and transactions data to leverage and transform them into success patterns for the enterprise’s business. Also provides a very wide treatment of big data computing that covers the functionalities and features of NoSQL, MapReduce programming models, Hadoop technologies and commercial product environments
  • Covers most major areas of interest in Big Data Computing, namely, analytical techniques and industry analytic applications in the areas of Web, social networks, mobile and real time applications
  • Focuses on no particular vendor or service offering. While there are good descriptions of the Amazon, Google and Microsoft Big Data applications, the text also introduces solutions from other players

Summary

This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.

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