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

Author:   John R. Talburt (Professor of Information Science, University of Arkansas at Little Rock, AR, USA) ,  Yinle Zhou (Software Engineer, IBM InfoSphere Master Data Management, Austin, TX, USA)
Publisher:   Elsevier Science & Technology
ISBN:  

9780128005378


Pages:   254
Publication Date:   24 April 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Entity Information Life Cycle for Big Data: Master Data Management and Information Integration


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Author:   John R. Talburt (Professor of Information Science, University of Arkansas at Little Rock, AR, USA) ,  Yinle Zhou (Software Engineer, IBM InfoSphere Master Data Management, Austin, TX, USA)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Dimensions:   Width: 19.10cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.540kg
ISBN:  

9780128005378


ISBN 10:   0128005378
Pages:   254
Publication Date:   24 April 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

... covers MDM in a traditional manner, that is, maintaining current entity identity information, very well, and it can be recommended to advanced MDM practitioners (and advanced students of databases and data warehouses). --Computing Reviews, Entity Information Life Cycle for Big Data


...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 book. --Computing Reviews, Entity Information Life Cycle for Big Data ... covers MDM in a traditional manner, that is, maintaining current entity identity information, very well, and it can be recommended to advanced MDM practitioners (and advanced students of databases and data warehouses). --Computing Reviews


Author Information

Dr. John R. Talburt is Professor of Information Science at the University of Arkansas at Little Rock (UALR) where he is the Coordinator for the Information Quality Graduate Program and the Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ). He is also the Chief Scientist for Black Oak Partners, LLC, an information quality solutions company. Prior to his appointment at UALR he was the leader for research and development and product innovation at Acxiom Corporation, a global leader in information management and customer data integration. Professor Talburt holds several patents related to customer data integration and the author of numerous articles on information quality and entity resolution, and is the author of Entity Resolution and Information Quality (Morgan Kaufmann, 2011). He also holds the IAIDQ Information Quality Certified Professional (IQCP) credential. Dr. Yinle Zhou is an IBM software architect and data scientist in the InfoSphere MDM development group in Austin, Texas, and also serves as an Affiliate Member of the Graduate Faculty at University of Arkansas at Little Rock (UALR). Dr. Zhou holds a PhD in Integrated Computing with Emphasis in Information Quality (IQ) from UALR where her doctoral research focused on modeling the management of entity identity information in entity resolution systems. She also holds a Master of Science in Information Quality from UALR, a Bachelor of Business Administration in Electronic Commerce from Nanjing University in China, and the Information Quality Certified Professional (IQCP) credential issued by the International Association for Information and Data Quality (IAIDQ). Her research and publications are in areas of information quality, identity management, entity and identity resolution, and social computing

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