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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
From the Back Cover
“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
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Customer Reviews
Most Helpful Customer Reviews
3 of 3 people found the following review helpful
Format:Hardcover
As part of a recent data quality assignment, I had cause to use the recently released 2nd edition of "Master Data Management and Data Governance" by Alex Berson and Larry Dubov.
Although I did not acquire the book specifically for this assignment, it ended up providing much valuable theory and background information. The book is very comprehensive (clocking in at just over 500 pages) but is written in an engaging and informative style by Alex and Larry, both well recognised authors and thinkers in this field.
The structure of the book is rational and logical, starting with an overview of Master Data Management, architectural considerations for MDM solutions, security/privacy/compliance and then moves on sections on implementing and governing Master Data Management. The final section reviews current MDM markets and trends. This edition has been updated to reflect the changes in both the techniques used and the technologies that are available.
The general approach to the subject is expansive, but very readable and contains many references to other publications, authors and web resources with clear analysis of these different views.
Where methodologies are stated, the authors in many cases provide alternative approaches and do not present a `one size fits all' solution. This means that you will have to spend a little time deciding on the most appropriate approach for your particular situation - but that is probably time well spent and does not make you feel that you have to follow a single prescriptive approach.
Throughout the book space is devoted to providing explanations of the different techniques and technologies, for example, the information security chapter takes time to explain the range of different security techniques and technologies and how they can be applied.
I only one minor criticism of the book, that more space could have been devoted to Data Governance and data quality management approaches.
Overall, this is a valuable and informative book that should be a key reference source for anyone starting or following an MDM path. In terms of the client I mentioned earlier, I recommended that they buy a copy of this book to ensure that they fully understood how MDM can support them.
Although I did not acquire the book specifically for this assignment, it ended up providing much valuable theory and background information. The book is very comprehensive (clocking in at just over 500 pages) but is written in an engaging and informative style by Alex and Larry, both well recognised authors and thinkers in this field.
The structure of the book is rational and logical, starting with an overview of Master Data Management, architectural considerations for MDM solutions, security/privacy/compliance and then moves on sections on implementing and governing Master Data Management. The final section reviews current MDM markets and trends. This edition has been updated to reflect the changes in both the techniques used and the technologies that are available.
The general approach to the subject is expansive, but very readable and contains many references to other publications, authors and web resources with clear analysis of these different views.
Where methodologies are stated, the authors in many cases provide alternative approaches and do not present a `one size fits all' solution. This means that you will have to spend a little time deciding on the most appropriate approach for your particular situation - but that is probably time well spent and does not make you feel that you have to follow a single prescriptive approach.
Throughout the book space is devoted to providing explanations of the different techniques and technologies, for example, the information security chapter takes time to explain the range of different security techniques and technologies and how they can be applied.
I only one minor criticism of the book, that more space could have been devoted to Data Governance and data quality management approaches.
Overall, this is a valuable and informative book that should be a key reference source for anyone starting or following an MDM path. In terms of the client I mentioned earlier, I recommended that they buy a copy of this book to ensure that they fully understood how MDM can support them.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
9 reviews
7 of 8 people found the following review helpful
This is THE BOOK for MDM.
17 Dec 2010
Format:Hardcover|Amazon Verified Purchase
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.
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.
1 of 1 people found the following review helpful
One of the Best I've Read
15 Dec 2010
Format:Hardcover
Larry and Alex have written a significant V2 book on MDM and Data Governance, adding new content that covers business case, planning and prioritizing MDM projects, data models for MDM and some new and updated work on Data Governance and data quality measurement.
This is, in my opinion, one of the best books on IT I have read, and by far the best book on MDM I've read, because it doesn't try to "boil the ocean" - it focuses on MDM. They focus on the key issues you have to know in order to execute an MDM project well.
If you're going to work on an MDM project and are already an IT professional, you will leverage existing knowledge of other areas such as enterprise information management principles, data warehousing and business intelligence, metadata management and enterprise architecture, but those areas won't teach you what you need to know about MDM. In fact, they may lead you the wrong direction. That's why you must read this book.
As an almost-30-year veteran IT architect and MDM/DG practitioner, I highly recommend it.
This is, in my opinion, one of the best books on IT I have read, and by far the best book on MDM I've read, because it doesn't try to "boil the ocean" - it focuses on MDM. They focus on the key issues you have to know in order to execute an MDM project well.
If you're going to work on an MDM project and are already an IT professional, you will leverage existing knowledge of other areas such as enterprise information management principles, data warehousing and business intelligence, metadata management and enterprise architecture, but those areas won't teach you what you need to know about MDM. In fact, they may lead you the wrong direction. That's why you must read this book.
As an almost-30-year veteran IT architect and MDM/DG practitioner, I highly recommend it.
2 of 3 people found the following review helpful
Fantastic Resource for all data management projects
2 Dec 2010
Format:Hardcover
Increasingly fundamental topic in large enterprises that is often overlooked.
Covers all processes commonly seen in MDM solutions ( source identification, data collection, data transformation, normalization, rule administration, error detection and correction, data consolidation, data storage, data distribution, and data governance.)
This book describes a strategy and outlines a practical strategy that can be actioned effectively to appreciably improve any data environment. A fantastic read and invaluable reference. Must add to any technical library.
Covers all processes commonly seen in MDM solutions ( source identification, data collection, data transformation, normalization, rule administration, error detection and correction, data consolidation, data storage, data distribution, and data governance.)
This book describes a strategy and outlines a practical strategy that can be actioned effectively to appreciably improve any data environment. A fantastic read and invaluable reference. Must add to any technical library.
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