Title Details

Sivakumar Harinath was born in Chennai, India. Siva has a Ph.D. in Computer Science from the University of Illinois at Chicago. His thesis title was: “Data Management Support for Distributed Data Mining of Large Datasets over High Speed Wide Area Networks.” Siva has worked for Newgen Software Technologies (P) Ltd., IBM Toronto Labs, Canada, and has been at Microsoft since February of 2002. Siva started as a Software Design Engineer in Test (SDET) in the Analysis Services Performance Team and is currently an SDET Lead for Analysis Services 2005. Siva’s other interests include high performance computing, distributed systems and high speed networking. Siva is married to Shreepriya and had twins Praveen and Divya during the course of writing this book. His personal interests include travel, games/sports (in particular, Chess, Carrom, Racquet Ball, Board games) and Cooking. You can reach Siva at [email protected]

Stephen Quinn was born in San Luis Obispo, California. Stephen has a Masters degree (1988) in Cognitive Psychology from California State University, Chico and is scheduled to receive his Masters of Business Administration (MBA) from the University of Washington, Seattle, in June 2006. Stephen is married to Katherine and is raising his daughter, Anastasia. He has been in most roles common to the R&D environment i.e., software developer, technical writer, technical support specialist and several quality assurance roles. Stephen has published some 20 articles in the magazines Byte, InfoWorld and Datamation. With 15+ years of software experience; Stephen has worked the last 8 years at Microsoft; most recently as a Technical Writer in SQL User Education and before that, for several years as Test Manager in the SQL Business Intelligence Unit. You can reach Stephen at [email protected].

Acknowledgments.

Introduction.

Part One: Introduction.

Chapter 1: Introduction to Data Warehousing and Analysis Services 2005.

Chapter 2: First Look at Analysis Services 2005.

Chapter 3: Introduction to MDX.

Chapter 4: Working with Data Sources and Data Source Views.

Chapter 5: Dimension Design.

Chapter 6: Cube Design.

Part Two: Advanced Topics.

Chapter 7: Advanced Topics in MDX.

Chapter 8: Advanced Dimension Design.

Chapter 9: Advanced Cube Design.

Chapter 10: Extending MDX using External Functions.

Part Three: Administration, Performance Tuning Integration.

Chapter 11: Updating Your UDM Data.

Chapter 12: Administering Analysis Services.

Chapter 13: Performance Optimization.

Chapter 14: Data Mining.

Chapter 15: Analyzing Cubes using Office Client Components.

Chapter 16: Integration Services.

Part Four: Scenarios.

Chapter 17: Reporting Services.

Chapter 18: Designing Real-Time Cubes.

Chapter 19: Securing Your Data in Analysis Services.

Appendix: MDX Function and Operator Reference.

Index.