Data Mining With Microsoft Sql Server 2008


Data Mining With Microsoft Sql Server 2008 pdf

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Data Mining with Microsoft SQL Server 2008


Data Mining with Microsoft SQL Server 2008

Author: Jamie MacLennan

language: en

Publisher: John Wiley & Sons

Release Date: 2011-03-10


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Eine praxisorientierte Einführung in das Data Mining Toolset des SQL Server 2008 und die neuen Data Mining Add-Ins für Office 2007. Enthält detaillierte Erläuterungen und Beispiele zu allen neuen Data Mining Features des SQL Server 2008. Gibt präzise Anleitungen zum Arbeiten mit den wichtigsten Data Mining-Algorithmen, (Naive Bayes-, Decision Trees-, Time Series-, Sequence Clustering-, Association- und Neural Network-Algorithmus), zum Data Mining in OLAP Datenbanken und mit SQL Server Integration Services 2008. Die begleitende Website enthält den kompletten Quellcode zu den Beispielen aus dem Buch.

Microsoft® SQL Server 2008 R2 Analytics & Data Visualization


Microsoft® SQL Server 2008 R2 Analytics & Data Visualization

Author: Doug Harts

language: en

Publisher: McGraw Hill Professional

Release Date: 2010-07-06


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Microsoft's BI growth rate is twice that of the industry, averaging close to 30 percent annually with analytics growing 40 percent Technical editor is Sean Boon, Microsoft Product Manager for the new Dundas Analytics for SQL Server 2008

Microsoft SQL Server 2008 Administration for Oracle DBAs


Microsoft SQL Server 2008 Administration for Oracle DBAs

Author: Mark Anderson

language: en

Publisher: McGraw Hill Professional

Release Date: 2010-10-22


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Leverage your Oracle DBA skills on Microsoft SQL Server 2008 Microsoft SQL Server 2008 Administration for Oracle DBAs shows you how to use your experience as an Oracle DBA to get up to speed quickly on the Microsoft SQL Server platform. Authors with real-world expertise in both Oracle and SQL Server introduce you to fundamental concepts, such as SQL Server architecture and core administration, before guiding you through advanced techniques, including performance optimization, high availability and disaster recovery. Platform comparisons, on-the-job examples, and answers to questions raised by Oracle DBAs learning the SQL Server environment help build your skills. This practical guide shows you how to: Identify the components of the SQL Server platform Understand SQL Server architecture Install and configure SQL Server software and client components Define and manage database objects Implement and administer database security Monitor, identify, and resolve performance issues Design and implement high availability, system backup, and disaster recovery strategies Automate SQL Server using built-in scheduling and alerting capabilities Import and export data to and from SQL Server and other RDBMS platforms Upgrade existing SQL Server installations and migrate Oracle databases to SQL Server