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Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

4.4 (19)
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Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

4.4 (19)

Overview of this book

Microsoft's SQL Server Analysis Services 2008 is an OLAP server that allows users to analyze business data quickly and easily. However, designing cubes in Analysis Services can be a complex task: it's all too easy to make mistakes early on in development that lead to serious problems when the cube is in production. Learning the best practices for cube design before you start your project will help you avoid these problems and ensure that your project is a success. This book offers practical advice on how to go about designing and building fast, scalable, and maintainable cubes that will meet your users' requirements and help make your Business Intelligence project a success. This book gives readers insight into the best practices for designing and building Microsoft Analysis Services 2008 cubes. It also provides details about server architecture, performance tuning, security, and administration of an Analysis Services solution. In this book, you will learn how to design and implement Analysis Services cubes. Starting from designing a data mart for Analysis Services, through the creation of dimensions and measure groups, to putting the cube into production, we'll explore the whole of the development lifecycle. This book is an invaluable guide for anyone who is planning to use Microsoft Analysis Services 2008 in a Business Intelligence project.
Table of Contents (17 chapters)
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Expert Cube Development with Microsoft SQL Server 2008 Analysis Services
Credits
About the Authors
About the Reviewers
Preface
1
Index

Monitoring query performance


We have already introduced many tools that can be used to get data on processing operations, using trace, performance counters and dynamic management views. The same tools can also be used to monitor query performance, and in this section we'll see how this can be done.

Monitoring queries with trace data

Regardless of the tool we use to collect it (SQL Server Profiler, ASTrace, XMLA, or Flight Recorder), trace data is the most important source of information on query-related operations. Trace data provides information on the internal operations of the Storage Engine and the Formula Engine, for example showing if aggregations are used or not or if calculations are evaluated in bulk mode or not.

The most important trace events for analyzing query performance are as follows (once again, the integer identifier for each event is shown in parentheses after its name):

  • Progress Report Begin (5) / Progress Report End (6) – there is only one subclass event that is relevant...

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