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.
Features:
Presents vendor-neutral coverage of concepts, theory, terminology, technologies, key analysis/analytics techniques and more.
Illuminates fundamental and advanced principles with hundreds of images, diagrams and real case studies.
Clarifies the linkages between Big Data and existing enterprise technologies, analytics capabilities and business intelligence systems.
Clear, consistent, logically organized and up-to-date.
The newest title in 'The Prentice Hall Service Technology' Series from Thomas Erl.

Table of Contents
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
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