Professional Sql Server 2000 Data Warehousing With Analysis Services
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Professional SQL Server 2000 Data Warehousing with Analysis Services
In this book, the author introduces the key concepts of data warehousing, OLAP, and data mining. In addition to coverage of Data Transformation Services (DTS) and MDX, this book also demonstrates how to develop an Analysis Services client application, and how to secure and optimize a data warehouse.
Professional Microsoft SQL Server Analysis Services 2008 with MDX
Author: Sivakumar Harinath
language: en
Publisher: John Wiley & Sons
Release Date: 2011-01-31
When used with the MDX query language, SQL Server Analysis Services allows developers to build full-scale database applications to support such business functions as budgeting, forecasting, and market analysis. Shows readers how to build data warehouses and multi-dimensional databases, query databases, and use Analysis Services and other components of SQL Server to provide end-to-end solutions Revised, updated, and enhanced, the book discusses new features such as improved integration with Office and Excel 2007; query performance enhancements; improvements to aggregation designer, dimension designer, cube and dimension wizards, and cell writeback; extensibility and personalization; data mining; and more
Professional Microsoft SQL Server Analysis Services 2008 with MDX
When used with the MDX query language, SQL Server Analysis Services allows developers to build full-scale database applications to support such business functions as budgeting, forecasting, and market analysis. Shows readers how to build data warehouses and multi-dimensional databases, query databases, and use Analysis Services and other components of SQL Server to provide end-to-end solutions Revised, updated, and enhanced, the book discusses new features such as improved integration with Office and Excel 2007; query performance enhancements; improvements to aggregation designer, dimension designer, cube and dimension wizards, and cell writeback; extensibility and personalization; data mining; and more