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Entity Information Life Cycle for Big Data: Master Data Management and Information Integration

By (author) John R. Talburt, By (author) Yinle Zhou

| on special |

normal price: R 2 082.95

Price: R 1 978.95

| book description |

Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics.

| product details |



Normally shipped | This title will be printed on demand for your order. Delivery will be 6 weeks or less.
Publisher | Elsevier Science & Technology
Published date | 24 Apr 2015
Language |
Format | Paperback / softback
Pages | 254
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 540g
ISBN | 978-0-1280-0537-8
Readership Age |
BISAC | computers / database management / general

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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 2 975.95
 Price | R 2 826.95 | on special |

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