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Big Data Computing : A Guide for Business and Technology Managers, Hardcover ...
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eBay item number:386326488292
Item specifics
- Condition
- Book Title
- Big Data Computing : A Guide for Business and Technology Managers
- ISBN
- 9781498715331
- Subject Area
- Computers, Business & Economics
- Publication Name
- Big Data Computing : a Guide for Business and Technology Managers
- Item Length
- 10.2 in
- Publisher
- CRC Press LLC
- Subject
- Programming / Games, Information Management, Databases / General
- Publication Year
- 2016
- Series
- Chapman and Hall/Crc Big Data Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.3 in
- Item Width
- 7.3 in
- Item Weight
- 39.3 Oz
- Number of Pages
- 529 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1498715338
ISBN-13
9781498715331
eBay Product ID (ePID)
219596385
Product Key Features
Publication Name
Big Data Computing : a Guide for Business and Technology Managers
Format
Hardcover
Language
English
Subject
Programming / Games, Information Management, Databases / General
Publication Year
2016
Series
Chapman and Hall/Crc Big Data Ser.
Type
Textbook
Subject Area
Computers, Business & Economics
Number of Pages
529 Pages
Dimensions
Item Length
10.2 in
Item Height
1.3 in
Item Width
7.3 in
Item Weight
39.3 Oz
Additional Product Features
LCCN
2016-005989
Intended Audience
College Audience
Lc Classification Number
Qa76.9.B45k35 2016
Reviews
"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 Computingis an indispensable reference!" --Jill Dych, Vice President of Best Practices, SAS, "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 Computingis an indispensable reference!" --Jill Dyché, Vice President of Best Practices, SAS, "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 Computingis an indispensable reference!" --Jill Dyché, Vice President of Best Practices, SAS t of Best Practices, SAS, "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
Table of Content
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.
Copyright Date
2016
Dewey Decimal
005.7
Dewey Edition
23
Illustrated
Yes
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