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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 IBM® 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 else—everything 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 asset—bringing people, processes, and technology together with MDM and data governance
- Best practices in MDM deployment, including data warehouse and SAP integration
- Sales Rank: #929680 in Books
- Published on: 2008-06-15
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 1.52" w x 7.38" l, 2.62 pounds
- Binding: Hardcover
- 656 pages
From the Back Cover
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 IBM(R) 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 else-everything 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 otherUsing the MDM Reference Architecture to position and design MDM solutions within an enterpriseAssessing the value and risks to master data and applying the right security controlsUsing PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challengesExplaining MDM patterns as enablers to accelerate consistent MDM deploymentsIncorporating MDM solutions into existing IT landscapes via MDM Integration BlueprintsLeveraging master data as an enterprise asset-bringing people, processes, and technology together with MDM and data governanceBest practices in MDM deployment, including data warehouse and SAP integration
About the Author
Allen Dreibelbis has 30 years of experience in the IT Industry. He spent 16 years providing system integration and consulting services to public-sector clients while working for IBM. His expertise spans enterprise architecture, software development, complex systems integration, and Master Data Management. Allen currently is an Executive Architect in the IBM Software Group World-Wide Information Platform and Solutions Acceleration Team. He developed the Master Data Management Reference Architecture in 2006 while collaborating with colleagues across the IBM SWG Information Platform and Solutions organization and the IBM Information on Demand Center of Excellence. He provides customer briefings and training on the Master Data Management Reference Architecture and conducts architecture workshops for customers on implementing Master Data Management Solutions within their enterprises. Allen holds a B.S. in Computer Science from Pennsylvania State University.
Eberhard Hechler is a Senior Certified IT Architect (SCITA) and Executive IT Architect. He joined the IBM Böblingen Lab in Germany in 1983 as a junior programmer. Eberhard worked more than two years on an international assignment with the IBM Kingston Lab in New York, and he has worked on projects in software development, performance optimization and benchmarking, solution architecture and design, software product planning, management, technical consultancy, and technical alliance management. In 1992, Eberhard began to work with DB2® for MVS™, focusing on testing and performance measurements of new DB2 versions. Since 1999, his focus has been on Information Management and DB2 UDB on distributed platforms. He is currently the Technical Enablement Architect for IBM Information Platform & Solutions, working with System Integrators throughout Europe. Eberhard holds a M.S. in Mathematics (Diplom- Mathematiker) from Hamburg University.
Ivan Milman is a Senior Technical Staff Member at IBM, focusing on security and governance in the Information Management area within the IBM Software Group in Austin, Texas. Over the course of his career, Ivan has worked on a variety of distributed systems and security technology, including OS/2® Networking, DCE, IBM Global Sign-On, and Tivoli® Access Manager. Ivan has also represented IBM to standards bodies, including The Open Group and IETF. Prior to his current position, Ivan was the lead architect for the IBM Tivoli Access Manager family of security products. Ivan is a member of the IBM Security Architecture Board and the IBM Data Governance Council. Ivan is a Certified Information Systems Security Professional and a Master Inventor at IBM, and has been granted 12 U.S. patents.
Martin Oberhofer joined IBM in the IBM Silicon Valley Labs in the United States as a developer for database technology. After returning to Germany, he joined the IBM Böblingen Lab, from which he still works as a Technical Consultant and member of the World-Wide IBM Software Group Master Data Management Center of Excellence. His areas of expertise include database technologies, Java™ software development, MDM architecture, and IT systems integration. His special focus area is integrating MDM systems into the operational IT landscape by synchronizing and distributing master data with SAP application systems. He provides architecture workshops to customers and system integrators. He holds a M.S. in Mathematics from the University of Constance, Germany.
Paul van Run has almost 10 years experience in MDM and 15 years in IT. At DWL, he was part of the R&D leadership team developing DWL Customer, one of the first dedicated CDI products on the market. After the acquisition of DWL by IBM in 2005, he became a Senior Technical Staff Member, and he is responsible for the architecture of the IBM Master Data Management products: MDM Server (formerly WebSphere® Customer Center) and WebSphere Product Center, both market leaders in their segments. Before coming to DWL, Paul worked as a software developer in the insurance industry for an ING Group subsidiary in Canada. Paul holds a M.S. in Information Science from the Technical University of Eindhoven, the Netherlands, and a M.S. in Computer Science from the University of Waterloo, Canada.
Dan Wolfson is an IBM Distinguished Engineer and the chief architect and CTO for the Information Platform and Solutions segment of the IBM Information Management Division of the IBM Software Group. He is responsible for architecture and technical leadership across the rapidly growing areas of Information Integration, Master Data Management, and Industry Models. Dan’s previous roles include CTO for Business Integration Software and chief architect for Information Integration Solutions.
Dan has more than 20 years of experience in research and commercial distributed computing, including transaction and object-oriented systems, software fault tolerance, messaging, information integration, business integration, metadata management, and database systems.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Very Good - Insightful and clear
By James Thom
This is a high quality piece on a complex domain that contains strong architectural advice that should be readily applicable to most environments. I bought the Kindle version and it is annoying that on books like this they dont provide copies of the drawings you can reuse. But very good content, and clear callouts of things to be mindful of.
It is however not a cookbook or Dummies guide - you have to have a need to get this deep into MDM which not a huge number of folks do.
0 of 0 people found the following review helpful.
Well Done; Comprehensive; Important!
By Michael Tozer
Insights abound throughout this excellent and important book. For those seriously considering the efficacy of a comprehensive Master Data Management program in a modern enterprise, I would recommend this work. The authors do an excellent job of describing where Master Data Management fits in within a Services Oriented Architecture. And they also provide excellent technical guidance relative to integration and implementation. A minor, though necessary, criticism is that the book has a decided "IBM flavor" to it. This should be no surprise, as the book is published by IBM Press; and all of the authors are IBM employees. Nonetheless, the book is well written, well organized, comprehensive, excellent, and important. It is, in short, well worth the time, money, and effort; and the book does belong on the bookshelf of those truly committed to excellence in Enterprise Master Data Architecture.
2 of 3 people found the following review helpful.
Still the best MDM text in year-2010 marketplace
By Erik Gfesser
The best text on enterprise master data management (MDM) in the marketplace today. Other reviewers have commented that this work is "the Bible" of MDM, and this reviewer agrees with this assessment at a deeper level than acknowledging its near-600 pages of content. In addition to providing an introduction to MDM, the authors walk the reader through architecting solutions and provide industry examples at a level of detail not found anywhere else. As a consultant, one aspect of this book that this reviewer especially appreciated is its true vendor neutrality. It is not until Appendix B that the authors mention commercial products in this space, and although this appendix might help readers understand what might be purchased as commercial off-the-shelf (COTS) software, it is quickly apparent that there has been a lot of movement over the last two years.
Admittedly, after reading this book for the first time, this reviewer understands why the authors recommend first reading chapter 1 ("Introducing Master Data Management") followed by chapter 3 ("MDM Reference Architecture") and chapter 9 ("MDM and Data Governance") in order to understand MDM, data governance, and how to implement MDM, but these chapters also contain long stretches of content sans diagrams that are often slowly drawn out, so reading chapters in order is recommended unless the reader is already knowledgeable about MDM and is looking for industry-specific examples, in which case chapter 6 ("PIM-MDM Solution Blueprints") and chapter 7 ("CDI-MDM Solution Blueprints") should be read, or the reader is looking to integrate MDM with other systems, in which case chapter 8 ("MDM Integration Blueprints") should be read, although chapter 8 has difficulty standing on its own and the reading of chapters 6 and 7 heavily relies on chapter 5 ("MDM Architecture Patterns").
The authors present well MDM and service-oriented architecture (SOA) theory and how MDM enables SOA, and this reviewer especially appreciated their presentation on patterns and industry examples. MDM architecture patterns are broken down into (1) "MDM Hub Patterns", (2) "Information Focused Application Integration", (3) "Process Focused Application Integration", and (4) "Enterprise Systems Deployment", which are further broken down into the following, respectively: (1) "Transaction Hub", "Coexistence Hub", and "Registry Hub", (2) "Initial Load" and "Information Synchronization", (3) "Transaction Interception", "Messaging", and "ESB", and (4) "MDM-DW Integration", "MDM-BI Analytical System Integration", "MDM-ERP Integration", and "MDM-CRM Integration".
The authors follow up their presentation on patterns by providing solution insight to New Product Introduction (NPI) for the consumer electronics industry, Global Data Synchronization (GDS) for the retail industry, and PIM-RFID for tracking and tracing product, as well as solutions to Master Patient Index (MPI) for the healthcare industry, Cross- and Up-Sell and Fraud and Theft for the banking and insurance industry, and Self-Service Website for the telecommunications industry. Along the way, the authors discuss business context, relevant business patterns, relationships between business patterns and architecture patterns, and provide dozens of diagrams that tie-in directly to the discussion, walking the reader through architecture components and the interactions between these components. Expect to spend some time reading through these examples. Well recommended text on MDM for a wide spectrum of reader needs from the high-level to the deep-dive, but be aware that data models, a critical aspect of MDM, are unfortunately not discussed.
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