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MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E von [Berson, Alex, Dubov, Larry]
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MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E Kindle Edition


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Länge: 537 Seiten Verbesserter Schriftsatz: Aktiviert PageFlip: Aktiviert
Sprache: Englisch

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Kurzbeschreibung

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

Buchrückseite

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"


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 5506 KB
  • Seitenzahl der Print-Ausgabe: 537 Seiten
  • ISBN-Quelle für Seitenzahl: 0071744584
  • Gleichzeitige Verwendung von Geräten: Bis zu 4 Geräte gleichzeitig, je nach vom Verlag festgelegter Grenze
  • Verlag: McGraw-Hill Education; Auflage: 2 (6. Dezember 2010)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B004QWY5YU
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Verbesserter Schriftsatz: Aktiviert
  • Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
  • Amazon Bestseller-Rang: #380.767 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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Amazon.com: HASH(0x9d289948) von 5 Sternen 22 Rezensionen
6 von 6 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d273630) von 5 Sternen Not very technical 24. September 2013
Von Michael J. Sexton - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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
6 von 7 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d28a894) von 5 Sternen Not good 9. Oktober 2014
Von dave whittemore - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
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.
3 von 3 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d1a7b40) von 5 Sternen Good conceptual level reference 16. Dezember 2013
Von DJ Arboretum - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
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.
HASH(0x9d1a7018) von 5 Sternen A great framework for Enterprise Information Management 12. Mai 2015
Von Valtteri Rantala - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Great basic text book and framework source for those of us that have been wrestling with the complexities of Enterprise Information Management, Information Architecture and Enterprise Architecture.
HASH(0x9d196f84) von 5 Sternen Very informative and I used much of what I was ... 15. September 2015
Von Jacob Ruiz - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Very informative and I used much of what I was learning from my assigned course reading in my role of implementing a Data Warehouse at work.
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