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

John R. Talburt, Yinle Zhou




[PDF.sv09] Entity Information Life Cycle for Big Data: Master Data Management and Information Integration

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 | #1512601 in Books |  2015-05-07 |  2015-04-23 | Original language:English | PDF # 1 |  9.25 x.58 x7.50l,1.15 | File type: PDF | 254 pages

||1 of 1 people found the following review helpful.| An articulate case for the value proposition of MDM/Big Data|By Peter Aiken|The authors have done an excellent job tying together state of the art academic concepts with state of the practice business needs, showing clearly how these two (much hyped) concepts can be used to provide value to our organizations. A must read for anyone confused about how to apply these concepts ..| ||"...good as a textbook and also as independent reading for professionals in the sector. The references where the solutions and methods treated were originally presented are included so that they can be found for further reading…a highly recommended boo

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 informa...

You easily download any file type for your device.Entity Information Life Cycle for Big Data: Master Data Management and Information Integration   |  John R. Talburt, Yinle Zhou. Which are the reasons I like to read books. Great story by a great author.

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