The Data Warehouse Lifecycle Toolkit: Tools and Techniques for Designing, Developing and Deploying Data Marts and Data Warehouses

The Data Warehouse Lifecycle Toolkit: Tools and Techniques for Designing, Developing and Deploying Data Marts and Data Warehouses

Paperback

By (author) Ralph Kimball, By (author) Laura Reeves, By (author) Margy Ross, By (author) Warren Thornthwaite

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  • Publisher: John Wiley & Sons Inc
  • Format: Paperback | 800 pages
  • Dimensions: 188mm x 234mm x 44mm | 1,179g
  • Publication date: 10 September 1998
  • Publication City/Country: New York
  • ISBN 10: 0471255475
  • ISBN 13: 9780471255475
  • Sales rank: 1,292,313

Product description

"A comprehensive, thoughtful, and detailed book that will be of inestimable value to anyone struggling with the complex details of designing, building, and maintaining an enterprise-wide decision support system. Highly recommended." -Robert S. Craig, Vice President, Application Architectures, Hurwitz Group, Inc. In his bestselling book, The Data Warehouse Toolkit, Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses. Drawing upon their experiences with numerous data warehouse implementations, he and his coauthors show you all the practical details involved in planning, designing, developing, deploying, and growing data warehouses. Important topics include: The Business Dimensional Lifecycle(TM) approach to data warehouse project planning and management Techniques for gathering requirements more effectively and efficiently Advanced dimensional modeling techniques to capture the most complex business rules The Data Warehouse Bus Architecture and other approaches for integrating data marts into super-flexible data warehouses A framework for creating your technical architecture Techniques for minimizing the risks involved with data staging Aggregations and other effective ways to boost data warehouse performance Cutting-edge, Internet-based data warehouse security techniques The CD-ROM supplies you with: Complete data warehouse project plan tasks and responsibilities A set of sample models that demonstrate the Bus Architecture Blank versions of the templates and tools described in the book Checklists to use at key points in the project

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Author information

RALPH KIMBALL has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well--known speakers, consultants, and teachers on data warehousing. He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine. Dr. Kimball's coauthors have each founded their own very successful data warehouse consulting firms: Laura Reeves of StarSoft Solutions; Margy Ross of DecisionWorks Consulting; and Warren Thornthwaite of InfoDynamics LLC.

Review quote

(...) Das Buch richtet sich primdr an Designer und Informations-Manager im Umfeld von Data-Warehouse-Anwendungen. Diese Zielgruppe erhdlt Ratschldge und Handlungsanleitungen, um deren Anforderungen optimal zu bewdltigen. Dabei ist der ganzheitliche Ansatz zu betonen, der eine evolutiondre Weiterentwicklung besser als singuldre Schnellsch]sse unterst]tzen kann. auch der zugrundeliegende Architekturcharakter trdgt zur Festigung dieser Intension bei. Zu knapp werden die Themen Data Mining und Parallelverarbeitung angesprochen; ebenfalls fehlen zur Vertiefung weiterf]hrende Literaturhinweise. Insbesondere SMP und MPP bieten f]r die praktische Realisierung wichtige Unterst]tzungshilfen. Wobei zur Verbesserung der Performance die Fdhigkeit einiger DBMS Abfragen zu optimieren und parallel zu verarbeiten n]tzlich ist. IT-Director 10/2000

Back cover copy

"A comprehensive, thoughtful, and detailed book that will be of inestimable value to anyone struggling with the complex details of designing, building, and maintaining an enterprise-wide decision support system. Highly recommended." -Robert S. Craig, Vice President, Application Architectures, Hurwitz Group, Inc. In his bestselling book, The Data Warehouse Toolkit, Ralph Kimball showed you how to use dimensional modeling to design effective and usable data warehouses. Now, he carries these techniques to the larger issues of delivering complete data marts and data warehouses. Drawing upon their experiences with numerous data warehouse implementations, he and his coauthors show you all the practical details involved in planning, designing, developing, deploying, and growing data warehouses. Important topics include: * The Business Dimensional Lifecycle(TM) approach to data warehouse project planning and management* Techniques for gathering requirements more effectively and efficiently* Advanced dimensional modeling techniques to capture the most complex business rules* The Data Warehouse Bus Architecture and other approaches for integrating data marts into super-flexible data warehouses* A framework for creating your technical architecture* Techniques for minimizing the risks involved with data staging* Aggregations and other effective ways to boost data warehouse performance* Cutting-edge, Internet-based data warehouse security techniques The CD-ROM supplies you with: * Complete data warehouse project plan tasks and responsibilities* A set of sample models that demonstrate the Bus Architecture* Blank versions of the templates and tools described in the book* Checklists to use at key points in the project

Table of contents

The Chess Pieces. PROJECT MANAGEMENT AND REQUIREMENTS. The Business Dimensional Lifecycle. Project Planning and Management. Collecting the Requirements. DATA DESIGN. A First Course on Dimensional Modeling. A Graduate Course on Dimensional Modeling. Building Dimensional Models. ARCHITECTURE. Introducing Data Warehouse Architecture. Back Room Technical Architecture. Architecture for the Front Room. Infrastructure and Metadata. A Graduate Course on the Internet and Security. Creating the Architecture Plan and Selecting Products. IMPLEMENTATION. A Graduate Course on Aggregates. Completing the Physical Design. Data Staging. Building End User Applications. DEPLOYMENT AND GROWTH. Planning the Deployment. Maintaining and Growing the Data Warehouse. Appendices. Index.