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Titlebook: Pro SQL Server 2008 Analysis Services; Philo Janus,Guy Fouché Book 2009 Philo Janus and Guy Fouche 2009 Microsoft SQL Server.SQL.SQL Serve

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书目名称Pro SQL Server 2008 Analysis Services
编辑Philo Janus,Guy Fouché
视频video
概述Pro SQL Server 2008 Analysis Services will show you how to pull data together and present it for reporting and analysis in a way that makes the data accessible to business users, instead of needing to
图书封面Titlebook: Pro SQL Server 2008 Analysis Services;  Philo Janus,Guy Fouché Book 2009 Philo Janus and Guy Fouche 2009 Microsoft SQL Server.SQL.SQL Serve
描述.Every business has reams of business data locked away in databases, business systems, and spreadsheets. While you may be able to build some reports by pulling a few of these repositories together, actually performing any kind of analysis on the data that runs your business can range from problematic to impossible. .Pro SQL Server 2008 Analysis Services. will show you how to pull that data together and present it for reporting and analysis in a way that makes the data accessible to business users, instead of needing to rely on the IT department every time someone needs a different report. . ..Accessible—With a single author‘s voice, this book conducts a guided tour through the technology that makes it easy to dive into. ..Solution–oriented—While technically deep, the goal is to focus on practical application of the technologies instead of acting as a technical manual. ..Comprehensive—This book covers every aspect of analysis services and ancillary technologies to enable you to make the most of SQL Server. . . .
出版日期Book 2009
关键词Microsoft SQL Server; SQL; SQL Server 2008; business intelligence; data mining
版次1
doihttps://doi.org/10.1007/978-1-4302-1996-5
isbn_softcover978-1-4302-1995-8
isbn_ebook978-1-4302-1996-5
copyrightPhilo Janus and Guy Fouche 2009
The information of publication is updating

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Creating Dimensions,n names give us the nomenclature we’ll use to break down our data, attributes will give us additional information about the members, and the members themselves provide the semantic points against which our measure data will be arrayed. Finally, well-designed dimension and attribute relationships wil
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Building a Cube,e so far, we need to assemble the dimensions into a cube. That’s what we’re going to do in this chapter. In addition to building a cube from our dimensions, we’ll also look into calculated measures (deriving additional values from existing values), partitions (dividing data to ease management), and
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Deploying and Processing,er, we’re going to discuss what . actually means and the various ways of doing it. We’ll talk a bit about synchronizing databases between servers—similar to mirroring for transactional databases. Finally, we’ll talk about processing the various Analysis Services objects and how to schedule processin
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