SQL Server Customer Advisory Team - SQL Server Best Practices

Enabling SQL Server customers to navigate the most challenging frontiers of large scale data management.

ToolBox

SQL DMVStats Toolkit

http://www.codeplex.com/sqldmvstats

A SQL Server 2005 Dynamic Management View Performance Data Warehouse

Introduction

Microsoft SQL Server 2005 provides Dynamic Management Views (DMVs) to expose valuable information that you can use for performance analysis. DMVstats 1.0 is an application that can collect, analyze and report on SQL Server 2005 DMV performance data. DMVstats does not support Microsoft SQL Server 2000 and earlier versions.

Main Components

The three main components of DMVstats are:
• DMV data collection
• DMV data warehouse repository
• Analysis and reporting.
Data collection is managed by SQL Agent jobs. The DMVstats data warehouse is called DMVstatsDB. Analysis and reporting is provided by means of Reporting Services reports.

For more details, refer to the file attachment DMVStats.doc.

Tom Davidson & Sanjay Mishra
Microsoft SQL Server Customer Advisory Best Practices Team

Published Feb 21 2008, 11:48 AM by denny.lee
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About denny.lee

Denny Lee is a Senior Program Manager based out of Redmond, WA in the SQLCAT Best Practices Team. He has more than 12 years experience as a developer and consultant implementing software solutions to complex OLTP and data warehousing problems. His industry experience includes accounting, human resources, automotive, retail, web analytics, telecommunications, and healthcare. He had helped create the first OLAP Services reporting application in production at Microsoft and is a co-author of “SQL Server 2000 Data Warehousing with Analysis Services” and “Transforming Healthcare through Information [Ed. Joan Ash] (2008)”. In addition to contributing to the SQLCAT Blog, SQL Server Best Practices, and SQLCAT.com, you can also review Denny's Space (http://denster.spaces.live.com). Denny specializes in developing solutions for Enterprise Data Warehousing, Analysis Services, and Data Mining; he also has focuses in the areas of Privacy and Healthcare.
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