Big Data Fundamentals: Concepts Drivers: Concepts, Drivers and Techniques

Author: Erl/Khattak/Buhler
Publisher: Pearson Education
Language: English
Edition: 1st
Year of Print: 2016
Binding: Paperback
Print Length: 218 Pages
ISBN: 9789332575073
About the Book

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