MDX Solutions (PDF)
With Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
(Sprache: Englisch)
* Serving as both a tutorial and a reference guide to the MDX
(Multidimensional Expressions) query language, this book shows data
warehouse developers what they need to know to build effective
multidimensional data warehouses
* After a brief overview...
(Multidimensional Expressions) query language, this book shows data
warehouse developers what they need to know to build effective
multidimensional data warehouses
* After a brief overview...
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Produktinformationen zu „MDX Solutions (PDF)“
* Serving as both a tutorial and a reference guide to the MDX
(Multidimensional Expressions) query language, this book shows data
warehouse developers what they need to know to build effective
multidimensional data warehouses
* After a brief overview of the MDX language and a look at how it
is used to access data in sophisticated, multidimensional databases
and data warehousing, the authors move directly to providing
practical examples of MDX in use
* New material covers changes in the MDX language itself as well
as major changes in its implementation with the latest software
releases of Microsoft SQL Server Analysis Services 2005 and
Hyperion Essbase
* Also covers more advanced techniques, like aggregation, query
templates, and MDX optimization, and shows users what they need to
know to access and analyze data to make better business
decisions
Note: CD-ROM/DVD and other supplementary materials are
not included as part of eBook file.
(Multidimensional Expressions) query language, this book shows data
warehouse developers what they need to know to build effective
multidimensional data warehouses
* After a brief overview of the MDX language and a look at how it
is used to access data in sophisticated, multidimensional databases
and data warehousing, the authors move directly to providing
practical examples of MDX in use
* New material covers changes in the MDX language itself as well
as major changes in its implementation with the latest software
releases of Microsoft SQL Server Analysis Services 2005 and
Hyperion Essbase
* Also covers more advanced techniques, like aggregation, query
templates, and MDX optimization, and shows users what they need to
know to access and analyze data to make better business
decisions
Note: CD-ROM/DVD and other supplementary materials are
not included as part of eBook file.
Inhaltsverzeichnis zu „MDX Solutions (PDF)“
Acknowledgments. Introduction. Chapter 1:A A First Introduction to MDX. Chapter 2: Introduction to MDX Calculated Members and Named Sets. Chapter 3: Common Calculations and Selections in MDX. Chapter 4: MDX Query Context and Execution. Chapter 5: Named Sets and Set Aliases. Chapter 6: Sorting and Ranking in MDX. Chapter 7: Advanced MDX Application Topics. Chapter 8: Using the Attribute Data Model of Microsoft Analysis Services. Chapter 9: Using Attribute Dimensions and Member Properties in Hyperion Essbase. Chapter 10: Extending MDX through External Functions. Chapter 11: Changing the Cube and Dimension Environment through MDX. Chapter 12: The Many Ways to Calculate in Microsoft Analysis Services. Chapter 13: MDX Scripting in Analysis Services 2005. Chapter 14: Enriching the Client Interaction. Chapter 15: Client Programming Basics. Chapter 16: Optimizing MDX. Chapter 17: Working with Local Cubes. Appendix A: MDX Function and Operator Reference. Appendix B: Connection Parameters That Affect MDX. Appendix C: Intrinsic Cell and Member Properties. Appendix D: Format String Codes. Index.
Autoren-Porträt von George Spofford, Sivakumar Harinath, Christopher Webb, Dylan Hai Huang, Francesco Civardi
George Spofford is a Distinguished Engineer at Hyperion Solutions, Inc. and the author of the first edition of MDX Solutions (Wiley). Sivakumar Harinath is the Test Lead for Analysis Services 2005 at Microsoft. Christopher Webb is a technical architect who specializes in BI solutions at IMS Health in London. Dylan Hai Huang is currently working as a program manager in Microsoft Office Business Application Team. Before joining the current team, he had been working in Microsoft Analysis Service Performance Team. His main interests are business intelligence, high performance computation and data mining. Francesco Civardi is Chief Scientist at DaisyLabs, a Business Intelligence Company. He is also Professor of Data Analysis Tools and Techniques at the Catholic Universities of Brescia and Cremona.
Bibliographische Angaben
- Autoren: George Spofford , Sivakumar Harinath , Christopher Webb , Dylan Hai Huang , Francesco Civardi
- 2006, 1. Auflage, 744 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470007338
- ISBN-13: 9780470007334
- Erscheinungsdatum: 16.02.2006
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Sprache:
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