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Master Data Management and Data Governance (Anglais) Relié – 1 novembre 2000


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Descriptions du produit

Quatrième de couverture

“This is a great book about MDM and its impact on our businesses, governments, and in many ways most of our lives. Written in a simple and effective style, it tells the story of how Master Data Management works, what it does, and why we should care very much how it is governed. If you have any interest in MDM, Data, or Information Governance, read this book.” –Steven B. Adler, CIPP, IBM Information Governance Solutions

“The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works. This makes the book especially valuable as a reference work.” –Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc.

“In this book, Alex Berson and Larry Dubov convey the many facets of the value of adopting master data management techniques while ably articulating an implementation roadmap. By maintaining the need to incorporate business process modeling, master data modeling, master metadata management, and data governance, the authors properly frame the necessary ideas for organizational preparation while still providing deep technical detail about both architecture and algorithms. This book is a definite addition to the MDM body of knowledge.” –David Loshin, President, Knowledge Integrity Incorporated

“Alex and Larry have done it again: published a very comprehensive, highly applicable book on MDM and Data Governance that achieves an excellent balance between thought-provoking academic treatment of some very technical subjects, and highly relevant, usable advice on how to achieve success in implementing a successful MDM and Data Governance program. This is a must-read for any program sponsor, CIO, CTO, enterprise architect, information architect, data steward, program manager or practitioner of MDM and Data Governance. This is not a read-and-forget book, but a great reference manual.–Martin Moseley, Chief Architect, CTO, Information Agenda Tiger Team, IBM Software Group

“This work is one of the most comprehensive, clear, well-researched, and insightful guidebooks on master data management and data governance. Larry and Alex did an exceptional job covering these complex topics from many viewpoints including technical, business, architectural, security, industry, social, international, product, and regulatory perspectives. I was so impressed at the level of detail and how much is in this book. The book covers critical principles, concepts, emerging trends, and misconceptions, based upon the author’s extensive experience and research and clarifies keys in creating successful MDM and data governance programs.” –Len Silverston, Best-selling author of The Data Model Resource Book, Volumes 1, 2, and 3

“Clearly, Alex Berson and Larry Dubov were hard at work tackling the tough topic of master data governance before the software vendor community had yet found religion (as the market now has ‘active’, ‘passive,’ and my favorite ‘passive-aggressive’ data governance flavors among the many marketing variations).” –Aaron Zornes, Chief Research Officer, The MDM Institute, San Francisco

Biographie de l'auteur

Alex Berson is an internationally recognized expert, thought leader, author, and advisor in the areas of information management, information security, advanced database technologies, SOA, CRM, data warehousing, mobile computing, and transaction processing, focusing on building complex groundbreaking solutions for financial services, manufacturing, pharmaceutical, and technology companies.
Dr. Larry Dubov is a recognized scientist, IT practitioner, expert, and thought leader in the implementation of complex business-driven technology solutions and products for financial services, banking, telecommunications, and pharmaceutical verticals. His primary focus is on MDM, Master Data Governance, CRM, data warehousing, operational data stores, and SOA.



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Couverture | Copyright | Table des matières | Extrait | Index
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Amazon.com: 17 commentaires
3 internautes sur 3 ont trouvé ce commentaire utile 
Not very technical 24 septembre 2013
Par Michael J. Sexton - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
I found the book rather lacking in technical specifics. It is geared more toward a CTO/CIO audience. If you need to "sell" an MDM project to management, then you'll find good material in this book
2 internautes sur 2 ont trouvé ce commentaire utile 
Good conceptual level reference 16 décembre 2013
Par DJ Arboretum - Publié sur Amazon.com
Format: Relié Achat vérifié
I found this book gave me useful understanding of the theory of MDM, which is what I wanted. It also provides some good high level architectures. I think it would have benefitted from more in the way of Case studies, particularly lessons learned. The true value of MDM can be questionable when it comes down to the practical hands on, so real life examples are paramount.
10 internautes sur 14 ont trouvé ce commentaire utile 
A long sail across Lake Déjà Vu 27 décembre 2012
Par Dimitri Shvorob - Publié sur Amazon.com
Format: Relié
People who can benefit from reading the book include (a) vendors and consultants selling "data solutions", (b) high-level managers buying them, (c) techies typing in PowerPoint, following a tryst between (a) and (b), or lobbying for a project/budget, and (d) students in courses on "information management" etc. Someone with at least a couple of years of experience in data management - I have considered the alternatives "someone who actually knows SQL syntax" and "someone who actually has to implement or manage a data system" - asking "What new and useful technical data-management advice does the book offer?" may be disappointed. I did not find a whole lot of *original* thought, and proposals (between "where we want to be" and "how to get there", I count as proposals only the latter variety) that did seem original were not always well explained, let alone argued for. Kudos to the authors for aggregating and presenting so much material - from SOX to SSL, from XACML to GLBA, from SOUNDEX to Acxiom, from logs to logarithms - but may I express my admiration for this pedagogical feat, this triumph of methodicalness and erudition, and keep my $36 for a more practical book investment.
3 internautes sur 4 ont trouvé ce commentaire utile 
Not good 9 octobre 2014
Par dave whittemore - Publié sur Amazon.com
Format: Relié Achat vérifié
No examples, no example data owner custodian interview questions, no examples on retention or categorization philosophies. So vague. We don't need to be sold on data management, we actual workflows to achieve savings now.
No examples to help me get the work done, boo.
Great Book 11 octobre 2013
Par Janelle - Publié sur Amazon.com
Format: Relié Achat vérifié
The book gives a good overview about the Data Management. What I like is it stays very much on the 'business' perspective though there are several technical diagrams for illustration. Chap 19 gives you some ideas where you can go from where you are.
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