Vivek Kale has more than two decades of professional IT experience during which he has handled and consulted on various aspects of enterprise-wide information modeling, enterprise architectures, business process redesign, and e-business architectures. He has been Group CIO of Essar Group, the steel/oil and gas major of India, as well as Raymond Ltd., the textile and apparel major of India. He is a seasoned practitioner in transforming the business of IT, facilitating business agility and enhancing IT-enabled enterprise intelligence. He is the author of Implementing SAP R/3: The Guide for Business and Technology Managers (Sams 2000) and Guide to Cloud Computing for Business and Technology Managers: From Distributed Computing to Cloudware Applications (CRC Press 2015).

"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.

Vivek Kale has more than two decades of professional IT experience during which he has handled and consulted on various aspects of enterprise-wide information modeling, enterprise architectures, business process redesign, and e-business architectures. He has been Group CIO of Essar Group, the steel/oil and gas major of India, as well as Raymond Ltd., the textile and apparel major of India. He is a seasoned practitioner in transforming the business of IT, facilitating business agility and enhancing IT-enabled enterprise intelligence. He is the author of Implementing SAP R/3: The Guide for Business and Technology Managers (Sams 2000) and Guide to Cloud Computing for Business and Technology Managers: From Distributed Computing to Cloudware Applications (CRC Press 2015).

"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.

Vivek Kale has more than two decades of professional IT experience during which he has handled and consulted on various aspects of enterprise-wide information modeling, enterprise architectures, business process redesign, and e-business architectures. He has been Group CIO of Essar Group, the steel/oil and gas major of India, as well as Raymond Ltd., the textile and apparel major of India. He is a seasoned practitioner in transforming the business of IT, facilitating business agility and enhancing IT-enabled enterprise intelligence. He is the author of Implementing SAP R/3: The Guide for Business and Technology Managers (Sams 2000) and Guide to Cloud Computing for Business and Technology Managers: From Distributed Computing to Cloudware Applications (CRC Press 2015).

"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.