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MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E [Format Kindle]

Alex Berson , Larry Dubov

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Présentation de l'éditeur

The latest techniques for building a customer-focused enterprise environment

"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." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc.

Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume.

  • Plan and implement enterprise-scale MDM and Data Governance solutions
  • Develop master data model
  • Identify, match, and link master records for various domains through entity resolution
  • Improve efficiency and maximize integration using SOA and Web services
  • Ensure compliance with local, state, federal, and international regulations
  • Handle security using authentication, authorization, roles, entitlements, and encryption
  • Defend against identity theft, data compromise, spyware attack, and worm infection
  • Synchronize components and test data quality and system performance

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Commentaires en ligne

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Amazon.com: 4.3 étoiles sur 5  19 commentaires
4 internautes sur 4 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 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 
4.0 étoiles sur 5 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 
3.0 étoiles sur 5 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 
1.0 étoiles sur 5 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.
9 internautes sur 14 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 This is THE BOOK for MDM. 17 décembre 2010
Par T. Anderson - Publié sur Amazon.com
Format:Relié|Achat vérifié
This book is great for beginners just starting out with MDM as well as seasoned professionals. I was introduced to MDM with the first version of this book. That was not my copy, so I bought the second edition for myself.

This book covers everything MDM from architectural considerations to governance and market trends.

The book offers some really sound advice on building the business case for MDM and how to communicate that business case effectively. Listen to their advice!!!! I am an architect, purely a technical guy, but I can tell you from experience without the backing of the business your project will be squashed.

The book covers the technical aspects of implementation in great detail. This book will give you the insight you need to fully understand the complexities of an MDM project. There are a ton of vendors out their claiming to have a magic install of MDM available for purchase, but the truth is they just do not exist. MDM is a process with many steps involved, not a product.

All in all if you are involved or getting involved with MDM this is the book to read.
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