Chapman and Hall/CRC
495 pages | 46 B/W Illus.
This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business and technical managers to make optimal decisions necessary for the successful migration to Big Data computing environments and applications within their organizations.
"As data grows and evolves, tapping its enormous potential is ultimately challenged by its very pervasiveness. This is because today’s leading multinational enterprises are distributed, and therefore so is their data. Vivek Kale’s book comprehensively overviews the capable yet complex spectrum of Big Data technologies that serves to empower organizations like yours to leverage this mammoth opportunity. Let this book guide your foray into Big Data."
—Eric Siegel, Ph.D., Founder of Predictive Analytics World and Author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die - Revised and Updated
"Vivek’s book is nothing less than a one-stop shop for managers who are looking to understand the issues surrounding big data adoption and for practitioners poised to implement big data solutions. Big Data Computing is an indispensable reference!"
—Jill Dyché, Vice President of Best Practices, SAS
Preface. Acknowledgements. Patterns in Data Deluge. Genesis of Big Data Computing. Database Basics. Text Mining Basics. Road to Big Data Computing. Data Warehouse Basics. Data Mining Basics. Analytics Basics. Cloud Computing Basics. Big Data Computing. Big Data. Multimedia Big Data. Big Data Technologies. Big Data Vendors. Big Data Development with Hadoop. Big Data Implementation. Big Data Computing Applications. Web Applications. Social Network Applications. Mobile Applications. Real-Time Data Applications. Context-Aware Applications. Epilogue. Appendix. References. Index.