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Big Data Fundamentals: Concepts, Drivers & Techniques, 1st edition

Published by Pearson (December 29, 2015) © 2016

  • Thomas Erl
  • Wajid Khattak
  • Paul Buhler
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Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more - all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples.

  • Acknowledgments
  • Reader Services    
  • PART I: THE FUNDAMENTALS OF BIG DATA
  • Chapter 1: Understanding Big Data   
  • Chapter 2: Business Motivations and Drivers for Big Data Adoption    
  • Chapter 3: Big Data Adoption and Planning Considerations    
  • Chapter 4: Enterprise Technologies and Big Data Business Intelligence    
  • PART II: STORING AND ANALYZING BIG DATA
  • Chapter 5: Big Data Storage Concepts    
  • Chapter 6: Big Data Processing Concepts    
  • Chapter 7: Big Data Storage Technology    
  • Chapter 8: Big Data Analysis Techniques    
  • Appendix A: Case Study Conclusion    
  • About the Authors    
  • Index    

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