Data Warehousing Techniques and Standards下载

weixin_39821526 2019-06-09 12:30:15
一个不错的关于数据仓库的介绍，适合想初步了解DW的朋友
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Data Warehousing Techniques and Standards
一个不错的关于数据仓库的介绍，适合想初步了解DW的朋友
The.Kimball.Group.Reader.2nd.Edition
The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Remastered Collection The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefaced by original commentaries explaining their role in the overall Kimball Group methodology. Data warehousing/business intelligence industry's current multi-billion dollar value is due in no small part to the contributions of Ralph Kimball and the Kimball Group. Their publications are the standards on which the industry is built, and nearly all data warehouse hardware and software vendors have adopted their methods in one form or another. This book is a compendium of Kimball Group expertise, and an essential reference for anyone in the field. Learn data warehousing and business intelligence from the field's pioneers Get up to date on best practices and essential design tips Gain valuable knowledge on every stage of the project lifecycle Dig into the Kimball Group methodology with hands-on guidance Ralph Kimball and the Kimball Group have continued to refine their methods and techniques based on thousands of hours of consulting and training. This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field. Table of Contents Chapter 1 The Reader at a Glance Chapter 2 Before You Dive In Chapter 3 Project/Program Planning Chapter 4 Requirements Definition Chapter 5 Data Architecture Chapter 6 Dimensional Modeling Fundamentals Chapter 7 Dimensional Modeling Tasks and Responsibilities Chapter 8 Fact Table Core Concepts Chapter 9 Dimension Table Core Concepts Chapter 10 More Dimension Patterns and Considerations Chapter 11 Back Room ETL and Data Quality Chapter 12 Technical Architecture Considerations Chapter 13 Front Room Business Intelligence Applications Chapter 14 Maintenance and Growth Considerations Chapter 15 Final Thoughts
The Kimball Group Reader, 2nd Edition
The Kimball Group Reader, Remastered Collection is the essential reference for data warehouse and business intelligence design, packed with best practices, design tips, and valuable insight from industry pioneer Ralph Kimball and the Kimball Group. This Remastered Collection represents decades of expert advice and mentoring in data warehousing and business intelligence, and is the final work to be published by the Kimball Group. Organized for quick navigation and easy reference, this book contains nearly 20 years of experience on more than 300 topics, all fully up-to-date and expanded with 65 new articles. The discussion covers the complete data warehouse/business intelligence lifecycle, including project planning, requirements gathering, system architecture, dimensional modeling, ETL, and business intelligence analytics, with each group of articles prefaced by original commentaries explaining their role in the overall Kimball Group methodology. Data warehousing/business intelligence industry's current multi-billion dollar value is due in no small part to the contributions of Ralph Kimball and the Kimball Group. Their publications are the standards on which the industry is built, and nearly all data warehouse hardware and software vendors have adopted their methods in one form or another. This book is a compendium of Kimball Group expertise, and an essential reference for anyone in the field. Learn data warehousing and business intelligence from the field's pioneers Get up to date on best practices and essential design tips Gain valuable knowledge on every stage of the project lifecycle Dig into the Kimball Group methodology with hands-on guidance Ralph Kimball and the Kimball Group have continued to refine their methods and techniques based on thousands of hours of consulting and training. This Remastered Collection of The Kimball Group Reader represents their final body of knowledge, and is nothing less than a vital reference for anyone involved in the field. Table of Contents Chapter 1 The Reader at a Glance Chapter 2 Before You Dive In Chapter 3 Project/Program Planning Chapter 4 Requirements Definition Chapter 5 Data Architecture Chapter 6 Dimensional Modeling Fundamentals Chapter 7 Dimensional Modeling Tasks and Responsibilities Chapter 8 Fact Table Core Concepts Chapter 9 Dimension Table Core Concepts Chapter 10 More Dimension Patterns and Considerations Chapter 11 Back Room ETL and Data Quality Chapter 12 Technical Architecture Considerations Chapter 13 Front Room Business Intelligence Applications Chapter 14 Maintenance and Growth Considerations Chapter 15 Final Thoughts
【网摘】Data Warehousing and BI Introduction
Resource: Data Modeling Resource Center: http://infogoal.com/dmc/dmcdmd.htm Data Warehousing Tutorial: http://www.infogoal.com/datawarehousing/ Data Warehousing and Business Intelligenc...
Business Intelligence and Data Warehousing in SQL Server 2005[转载]
转载自http://www.microsoft.com/technet/prodtechnol/sql/2005/evaluate/dwsqlsy.mspx Business Intelligence and Data Warehousing in SQL Server 2005 Published: July 15, 2004 Summary: This paper provides...
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