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Upgrading SSAS to Big Data White Paper

Understand the limitations of SSAS and traditional OLAP and how to ensure your business intelligence (BI) and analytics environment can handle Big Data.

OLAP that's built to handle today's Big Data needs

While there are many traditional OLAP engines on the market, Microsoft SQL Server Analysis Services (SSAS) remains one of the most widely used in the world. Its success is inextricably linked to its deep integration with Excel, MDX support, and that it works with many mainstream BI tools.

In the era of big data, however, this once widely adopted solution faces multiple challenges that are leading to increased costs, limited scalability, and often the inability to complete effective analysis. While SSAS is still useful today, it’s important to fully understand its limitations and how to effectively deal with them.

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Your journey to better Big Data analytics starts here

Ensure your business' analytics environment is prepared to take on all of your data-driven initiatives - both on-premises and on the Cloud - with this white paper that provides a look at today's Big Data-driven analytics landscape, where things are headed, and what you need to do to future-proof your analytics infrastructure.

Learn how the next generation of OLAP, Augmented OLAP, has updated this traditional technology to make it the best possible way to accelerate and scale business intelligence and analytics work with no cost to performance, even on petabyte scale datasets.

This SSAS white paper provides everything you need to know, including: