Enterprise Master Data Management: An SOA Approach to Managing Core Information | 
 enlarge | Authors: Allen Dreibelbis, Eberhard Hechler, Ivan Milman, Martin Oberhofer, Paul Van Run, Dan Wolfson
Publisher: IBM Press
Category: Book
List Price: $49.99
Buy New: $39.97
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New (27) Used (6) from $37.95
Avg. Customer Rating:  2 reviews
Sales Rank: 140598
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 656
Shipping Weight (lbs): 3.2
Dimensions (in): 9.3 x 7 x 1.7
ISBN: 0132366258
Dewey Decimal Number: 004.22
EAN: 9780132366250
ASIN: 0132366258
Publication Date: June 15, 2008
Availability: Usually ships in 1-2 business days
Condition: All orders ship same business day via standard shipping (USPS Media Mail) if received by 1 PM CST.
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| Editorial Reviews:
Product Description
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers
Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments.
Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBMA data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA.
Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere elseaeverything you need to establish a consistent, manageable set of master data, and use it for competitive advantage.
Coverage includes
- How MDM and SOA complement each other
- Using the MDM Reference Architecture to position and design MDM solutions within an enterprise
- Assessing the value and risks to master data and applying the right security controls
- Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges
- Explaining MDM patterns as enablers to accelerate consistent MDM deployments
- Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints
- Leveraging master data as an enterprise assetabringing people, processes, and technology together with MDM and data governance
- Best practices in MDM deployment, including data warehouse and SAP integration
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| Customer Reviews:
The only complete technical primer for MDM planners and implementers September 11, 2008
1 out of 1 found this review helpful
Advanced computer libraries will find ENTERPRISE MASTER DATA MANAGEMENT is the only complete technical primer for MDM planners and implementers and companies moving toward flexible SOA will find it invaluable. It provides MDM technical knowledge for designers, senior IT decision-makers and others, and is written by the IBM data management innovators who are pioneering MDM. From discussions of how MDM and SOA compliment each other to assessing risks, values, and exploring MDM patterns, chapters cover a range of technical data and best practice solutions and are invaluable to any IT collection.
Diane C. Donovan
California Bookwatch
This is the bible for MDM Architecture June 16, 2008
7 out of 7 found this review helpful
This is a book which belongs on every desk of Enterprise Information IT-Architects, CIOs and business decision makers interested in optimizing their current business processes using Master Data Management! It provides a complete MDM Reference Architecture including component interaction diagrams, MDM architecture patterns and MDM Solution Blueprints for various industries. Furthermore, it explains why MDM is a key SOA enabler and why security and privacy are of paramount importance for MDM deployments. Finally, in a dedicated chapter on Data Governance, a critical success factor for implementing MDM is explained. Another amazing aspect is that this book focuses on architectural principals and is absolutely software product agnostic. Therefore, the key principles explained for designing MDM solutions the right way without a product feature/function discussion make this book very useful for a long period of time. It was a lot of fun to read and I drew a lot of useful insights from it. In my opinion an absolute must read for MDM practitioners!
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