Wednesday, April 24, 2019

Big Data Fundamentals Concepts, Drivers & Techniques


File Size: 10.35 Mb

Description
EPUB is an open, industry-standard format for e-books. However, support for EPUB and its many features varies across reading devices and applications. Use your device or app settings to customize the presentation to your liking. Settings that you can customize often include font, font size, single or double column, landscape or portrait mode, and figures that you can click or tap to enlarge. For additional information about the settings and features on your reading device or app, visit the device manufacturer’s Web site.

Many titles include programming code or configuration examples. To optimize the presentation of these elements, view the e-book in single-column, landscape mode and adjust the font size to the smallest setting. In addition to presenting code and configurations in the reflowable text format, we have included images of the code that mimic the presentation found in the print book; therefore, where the reflowable format may compromise the presentation of the code listing, you will see a “Click here to view code image” link. Click the link to view the print-fidelity code image. To return to the previous page viewed, click the Back button on your device or app.

Content:-
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

Author Details
"Thomas Erl"

"Wajid Khattak"

"Paul Buhler"





You May Also Like These E-Books:-

No comments:

Post a Comment