Average Reviews:
(More customer reviews)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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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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