Building a Data Warehouse: With Examples in SQL Server (Expert's Voice in SQL Server) Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. Then in chapters 7 through 1
| TITLE | : | Building a Data Warehouse: With Examples in SQL Server (Expert's Voice in SQL Server) |
| AUTHOR | : | |
| RATING | : | 4.94 (733 Votes) |
| ASIN | : | 143024299X |
| FORMAT TYPE | : | Paperback |
| NUMBER of PAGES | : | 540 Pages |
| PUBLISH DATE | : | 2011-12-15 |
| GENRE | : |
Now available in paperback Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you l
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REVIEW :
I bought this Gr. After reading the story we had a long talk about how those who serve, such as firefighters, deserve a lot of respect and gratitude for their sacrifices. So he writes that he has a few years getting to know "what it's like" to be old. Having read both "Linked" and "A New Kind of Science" I feel compelled to add my two cents to some other reviewer who unfavorably compares Barabasi to Wolfram.
While it is true that Linked is a bit light on the underlying math - not trivial by all means - and that there are chapters the book would be better without (last three notably, as well as the already-mentioned analysis of M$ dominance) this remains an interesting introduction to networks theory. Another thousand dollars is much less important to a millionaire than a wage slave.
Chapter 26 - Prospect theory: The bias against loss. This book has a permanent spot in my
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