Why use a SSAS cube What are the advantages of using SSAS Cubes over a regular data warehouse for reporting Note Im not asking why report on a data warehouse instead of a OLTP database. Why You Need a Data Warehouse. Think of it as if I have a reporting tool and have the option to link to tables in a data warehouse or an SSAS cube, what would be the benefits if I linked to the SSAS cube Speed Aggregating Summarizing the data for performance During cube processing SSAS will pre calculate and physically stores aggregations of facts Amounts, Quantities, Money. These aggregations, for example Turnover by Year and Region, are used when a business user queries the cube for this type of information. Therefore the query response time can be very short. When the query is fired SSAS does not have to calculate the outcome from the underlying details like T SQL has to do, but can take the values directly from the stored aggregations. Migrate and move data. Import and Export Data with the SQL Server Import and Export Wizard Microsoft Data Migration Assistant Migrate your SQL Server database to. Use OLAP Services, Excel 2000, and ADO MD to create a local cube slice file from an OLAP cube to work with while youre traveling. 5 Responses to Why use a SSAS cube Pingback Back to basics Why do you need OLAP cubes DataWarehouses for enterprise business reporting systems Paras Doshi Blog. Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers. Besides that SSAS stores query results in a cache. So the next time the same type of query is fired, it will try to get it from the cache. Speed is especially important for a dashboard that an executive is using to slice and dice as any mouse click that takes more than a few milliseconds to return data will draw complaints. Multidimensional analysis slice, dice, drilldown This very much depends on the tool or front end that is layered over the data, but the idea is that you can very quickly navigate around the data, finding trends, spotting patterns, drilling down, slicing and dicing all key to the concept of cubes. Allowing the user to intuitively wander around the data, not even realising that they performing analysis. Can store Hierarchies.
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