Practical Dmx Queries For Microsoft Sql Server Analysis Services 2008
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Practical DMX Queries for Microsoft SQL Server Analysis Services 2008
Author: Art Tennick
language: en
Publisher: McGraw Hill Professional
Release Date: 2010-09-22
250+ Ready-to-Use, Powerful DMX Queries Transform data mining model information into actionable business intelligence using the Data Mining Extensions (DMX) language. Practical DMX Queries for Microsoft SQL Server Analysis Services 2008 contains more than 250 downloadable DMX queries you can use to extract and visualize data. The application, syntax, and results of each query are described in detail. The book emphasizes DMX for use in SSMS against SSAS, but the queries also apply to SSRS, SSIS, DMX in SQL, WinForms, WebForms, and many other applications. Techniques for generating DMX syntax from graphical tools are also demonstrated in this valuable resource. View cases within data mining structures and models using DMX Case queries Examine the content of a data mining model with DMX Content queries Perform DMX Prediction queries based on the Decision Trees algorithm and the Time Series algorithm Run Prediction and Cluster queries based on the Clustering algorithm Execute Prediction queries with Association and Sequence Clustering algorithms Use DMX DDL queries to create, alter, drop, back up, and restore data mining objects Display various parameters for each algorithm with Schema queries Examine the values of discrete, discretized, and continuous structure columns using Column queries Use graphical interfaces to generate Prediction, Content, Cluster, and DDL queries Deliver DMX query results to end users Download the source code from www.mhprofessional.com/computingdownload
Microsoft SQL Server 2008 Administration for Oracle DBAs
Author: Mark Anderson
language: en
Publisher: McGraw Hill Professional
Release Date: 2010-10-22
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
Practical SQL Queries for Microsoft SQL Server 2008 R2
400+ ready-to-use, powerful SQL queries Learn powerful techniques for surfacing and delivering actionable business intelligence using SQL. Practical SQL Queries for Microsoft SQL Server 2008 R2 contains more than 400 downloadable SQL queries you can use to extract meaningful insights from large amounts of data. The application, syntax, and results of each query are described in detail. The book emphasizes SQL for use in SSMS, but the queries also apply to SSRS, WinForms, WebForms, and many other applications. Enter, maintain, and retrieve database data Search records using the Where clause Sort SQL query results with the Order By clause Create tables and perform joins on tables Perform set operations using Union, Intersect, and Except Group data and produce totals with the Group By clause Manipulate and transform data using built-in functions Create reusable views and user-defined functions Use stored procedures to change SQL dynamically based on conditional factors Create, maintain, and secure database objects with DDL and DCL Deliver SQL query results to end users