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# Analysis Services
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Git repo for Analysis Services samples and community projects
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## [AASAutoScale](https://github.com/Microsoft/Analysis-Services/tree/master/AASAutoScale)
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A customizeable QPU AutoScale solution for AAS that supports scale up/down as well as in/out
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## [AsPartitionProcessing](https://github.com/Microsoft/Analysis-Services/tree/master/AsPartitionProcessing)
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Automated partition management of Analysis Services tabular models
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## [AsPerfMon](https://github.com/Microsoft/Analysis-Services/tree/master/AsPerfMon)
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Real-time monitoring of Analysis Services memory usage broken out by database
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## [AsTrace](https://github.com/Microsoft/Analysis-Services/tree/master/AsTrace)
The ASTrace tool captures a Profiler trace and writes it to a SQL Server table without requiring a GUI
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## [AsXEventSample](https://github.com/Microsoft/Analysis-Services/tree/master/AsXEventSample)
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The AsXEventSample sample shows how to collect streaming xEvents
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## [BismNormalizer](https://github.com/Microsoft/Analysis-Services/tree/master/BismNormalizer)
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BISM Normalizer is a schema diff tool for tabular models
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## [UsqlScripts](https://github.com/Microsoft/Analysis-Services/tree/master/UsqlScripts)
Sample U-SQL scripts that demonstrate how to process a TPC-DS data set in Azure Data Lake.
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## [ASJobGraph](https://github.com/Microsoft/Analysis-Services/tree/master/ASJobGraphEvents)
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Python script to reassemble job graph events from Analysis Services.
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## [BestPracticeRules](https://github.com/microsoft/Analysis-Services/tree/master/BestPracticeRules)
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A curated set of rules covering best practices for tabular model performance and design which can be run from [Tabular Editor's ](https://tabulareditor.com/ "Tabular Editor" ) [Best Practice Analyzer ](https://docs.tabulareditor.com/Best-Practice-Analyzer.html "Best Practice Analyzer" ).
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## [Metadata Translator](https://github.com/microsoft/Analysis-Services/tree/master/MetadataTranslator)
Metadata Translator can translate the names, descriptions, and display folders of the metadata objects in a semantic model by using Azure Cognitive Services.
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## Code of Conduct
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This project has adopted the [Microsoft Open Source Code of
Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct
FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com ](mailto:opencode@microsoft.com )
with any additional questions or comments.
