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Informationen zum Autor Alex Berson is a Director of Technology for a global management consulting firm. Dr. Berson holds a Ph.D. in Computer Sciences and M.S. in Applied Mathematics, and is an internationally recognized expert, author, educator and practitioner who has over 20 years of experience in information technologies focusing on data warehouse systems architecture, including design and implementation of systems and applications in the areas of data management, data warehousing and data mining; transaction processing; middleware, client/server distributed computing; and object technologies. Alex Berson is an active member of IEEE Computer Society, ACM, and many others. He’s also an advisory editor for the McGraw-Hill Professional Books division. He has published numerous technical articles in trade magazines, and is a best-selling author of a number of professional books including 'Data Warehousing, Data Mining and OLAP'(with Steve Smith); “Client/Server Architecture”; “SYBASE and Client/Server Computing”(with George Anderson); and “APPC: Introduction to LU6.2”. These books are published internationally, and had been translated in many languages including Chinese and Korean. His latest book, “Building Data Mining Applications for CRM”, is scheduled to be published in December 1999. Larry Dubov is a recognized expert in implementation of complex business driven technology solutions for Financial Services, Banking and Pharmaceutical verticals with the primary focus on Customer Data Integration (CDI), Master Data Management (MDM), Customer Relationship Management (CRM), Datawarehousing and Operational Data Stores. Klappentext Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The latest techniques for building a customer-focused enterprise environment 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 solutionsDevelop master data modelIdentify, match, and link master records for various domains through entity resolutionImprove efficiency and maximize integration using SOA and Web servicesEnsure compliance with local, state, federal, and international regulationsHandle security using authentication, authorization, roles, entitlements, and encryptionDefend against identity theft, data compromise, spyware attack, and worm infectionSynchronize components and test data quality and system performance Zusammenfassung This comprehensive revision of the premier resource on master data management (MDM) provides a common framework for the understanding and implementation of MDM initiatives. Inhaltsverzeichnis Part I. Introduction to Master Data Management ; Chapter 1. Overview of Master Data Management; Chapter 2. MDM: Overview of Market Drivers and Key Challenges; Chapter 3. MDM Applications by Industry; Part II. Architectural Considerations ; Chapter 4. MDM Architecture Classification, Concepts, Principles and Components; Chapter 5. Data Management Concerns of MDM Architecture: Entities, Hierarchies and Metadata; Chapter 6. MDM Services for Entity and Relationships Resolution and Hierarchy Management; Chapter 7. Master Data Modeling; Part III. D...
