Audience
Analytical data engine for companies wanting help with decision support and business analytics
About SSAS
Installed as an on-premises server instance, SQL Server Analysis Services supports tabular models at all compatibility levels (depending on version), multidimensional models, data mining, and Power Pivot for SharePoint. A typical implementation workflow includes installing a SQL Server Analysis Services instance, creating a tabular or multidimensional data model, deploying the model as a database to a server instance, processing the database to load it with data, and then assigning permissions to allow data access. When ready to go, the data model can be accessed by any client application supporting Analysis Services as a data source. Models are populated with data from external data systems, usually data warehouses hosted on a SQL Server or Oracle relational database engine (Tabular models support additional data source types).
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VertiPaq Analyzer is useful to analyze VertiPaq storage structures for a data model in Power BI and Analysis Services Tabular. Added measures for segments and partitions: pageable, resident, refresh date, last access. Analysis Services provides many Dynamic Management Views (DMV) to collect information about memory used by a data model. For example, DISCOVER_OBJECT_MEMORY_USAGE is a DMV that provides information about all the objects in memory. You can use such a DMV also to monitor a Multidimensional instance of Analysis Services. Kasper de Jonge created a sample model (BISM Memory Report) that organizes this data in a hierarchical way, making it easy to find the most expensive databases, tables, and columns on a server. If you want to analyze a particular database, you probably want to look at more detailed information, which are available in other DMVs.
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Integrations
Company Information
Microsoft
Founded: 1975
United States
docs.microsoft.com/en-us/analysis-services/ssas-overview
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