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Titlebook: Building a Data Warehouse; With Examples in SQL Vincent Rainardi Book 2008 Vincent Rainardi 2008 DBMS.Microsoft SQL Server.Reporting Servic

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發(fā)表于 2025-3-21 17:19:22 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Building a Data Warehouse
期刊簡稱With Examples in SQL
影響因子2023Vincent Rainardi
視頻videohttp://file.papertrans.cn/192/191817/191817.mp4
發(fā)行地址The only book that shows how to implement a data warehouse using SQL Server.Interest in this topic for SQL Server is high and poorly understood.The code in the book will save companies hundreds of hou
圖書封面Titlebook: Building a Data Warehouse; With Examples in SQL Vincent Rainardi Book 2008 Vincent Rainardi 2008 DBMS.Microsoft SQL Server.Reporting Servic
影響因子.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 learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the
Pindex Book 2008
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Physical Database Design,ment those data stores physically as SQL Server databases. For an experienced DBA, this should not be a problem. In the previous chapter, we defined all the columns, all the data types, and the relationships between tables. It should be quite straightforward to now create those tables, right?
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Data Warehouse Administration,t, the BI manager creates the user guide, and the development team writes the system documentation and the support manual. Second, the business intelligence manager (BIM) trains the business users, and the development team trains the data warehouse administrator (DWA) and support desk personnel. Fin
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