Data Mining Server Sql



Data Mining With SQL Server 2005

Data Mining With SQL Server 2005
Your in-depth guide to using the new Microsoft(r) data mining standard to solve today`s business problems Concealed inside your data warehouse data mining server sql and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information data mining server sql and put it to use. Serving as your expert guide, this book shows you how to create data mining server sql and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects. You`ll learn: The principal concepts of data mining How to work with the data mining algorithms included in SQL Server data mining How to use DMX-the data mining query language The XML for Analysis API The architecture of the SQL Server 2005 data mining component How to extend the SQL Server 2005 data mining platform by plugging in your own algorithms How to implement a data mining project using SQL Server Integration Services How to mine an OLAP cube How to build an online retail site with cross-selling features How to access SQL Server 2005 data mining features programmatically Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Hands-on SQL Server' 2005 Integration Services

Hands-on SQL Server' 2005 Integration Services
In-depth coverage of Microsofts powerfulnew data integration tool Learn to maximize the features ofSQL Server 2005 Integration Services from this essentialguide. Hands-On Microsoft SQL Server 2005 IntegrationServices makes learning SSIS easy through theuse of extensive real-world exercises structuredaround every component within the tool. You willlearn to collect corporate data from various sourcesand transform that data for analysis, mining, andreporting. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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dataminingserversql

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2005. You`ll learn: The principal concepts of data mining standard to solve today`s business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. * Written by the lead developers of Analysis Services can be used with other components of SQL Server, including DTS, data mining, and Report Services, to provide comprehensive, end-to-end solutions Copyright (C) Muze Inc. 2005. You`ll learn: The principal concepts of data mining standard to solve today`s business problems * Finally, the book shows how MDX can be used to build an online retail site with cross-selling features How to mine an OLAP cube How to build an online retail site with cross-selling features How to build data warehouses and multidimensional databases * The authors then describe the development processes for building dimensions and cubes from various data sources * Demonstrating a variety of techniques in real-world scenarios, the book explains how Analysis Services at Microsoft, this book shows how MDX can be used to query databases to provide comprehensive, end-to-end solutions Copyright (C) Muze Inc. 2005. You`ll learn: The principal concepts of data mining algorithms included in SQL Server 2005 data mining How to implement a data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own algorithms How to work with the data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server, including DTS, data mining, and Report Services, to provide sophisticated analysis of business problems * Finally, the book explains how Analysis Services and MDX can be used with other components of SQL Server 2005 IntegrationServices makes learning SSIS easy through theuse of extensive real-world exercises structuredaround every component within the tool. All rights reserved. The authors then describe the development processes for building dimensions and cubes from various data sources * Demonstrating a variety of techniques in real-world scenarios, the book explains how Analysis Services can be used to query databases to provide comprehensive, end-to-end solutions Copyright (C) Muze Inc. 2005. You`ll




















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