Big Data Fundamentals
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.
Table of Content
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
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Salient 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
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