There are many traditional OLAP engines on the market, of which Microsoft SQL Server Analysis Services (SSAS) is one of the most widely used in the world. The success of SSAS is inextricably linked to its deep integration with Excel, support for MDX language, and integration with mainstream BI tools.
In the era of big data, however, the once widely adopted SSAS solution faces multiple challenges which lead to increased costs, limited scalability, and often the inability to complete an effective analysis. While the solution is still an effective analysis tool today, it’s important to fully understand its limitations and how to effectively deal with them.
This white paper will share details about the challenges of SSAS in the big data era, how they can affect the business, and how they can be overcome. Inside you’ll learn:
Everything you need to take your next step towards ensuring your SSAS-based analytics environment can handle Big Data can be found here. Get started today.
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