Big Data Computing: A Guide for Business and Technology Managers

Big Data Computing: A Guide for Business and Technology Managers Front Cover
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529 pages

Book Description

This book unravels the mystery of and its power to transform 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 and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.

Table of Contents

Chapter 1. Computing Beyond The Moore’S Law Barrier While Being More Tolerant Of Faults And Failures
Section I: Genesis of Big Data Computing
Chapter 2. Database Basics

Section II: Road to Big Data Computing
Chapter 3. Basics
Chapter 4. Data Warehousing Basics
Chapter 5. Data Mining Basics
Chapter 6. Distributed Systems Basics
Chapter 7. Service-Oriented Basics
Chapter 8. Cloud Computing Basics

Section III: Big Data Computing
Chapter 9. Introducing Big Data Computing
Chapter 10. Big Data Technologies
Chapter 11. Big Data Databases
Chapter 12. Big Data Development With Hadoop
Chapter 13. Big Data Analysis Languages, Tools, And Environments
Chapter 14. Big Data Devops Management

Section IV: Big Data Computing Applications
Chapter 15. Web Applications
Chapter 16. Social Network Applications
Chapter 17. Mobile Applications
Chapter 18. Location-Based Systems Applications
Chapter 19. Context-Aware Applications

Book Details

  • Title: Big Data Computing: A Guide for Business and Technology Managers
  • Author:
  • Length: 529 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2016-12-01
  • ISBN-10: 1498715338
  • ISBN-13: 9781498715331
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