How Do High-Performance Analytics Work?
A high-performance analytics environment lets you take advantage of IT investments while overcoming infrastructure constraints that could prevent your big data assets from becoming high-value insights.
We offer three distributed processing options to ensure that you have the right combination of technologies to meet the demands of your business:
Big data and intricate analytical computations are processed in-memory and distributed across a dedicated set of nodes to produce highly accurate insights to solve complex problems in near-real time.
Data integration and analytic functions are executed inside the database, enabling better data governance and speeding time to insight because there's no need to move or convert data repeatedly.
SAS jobs are processed in a shared, centrally managed pool of IT resources, which promotes efficiency, lower cost and better performance.
SAS uses high-performance technologies to solve a variety of industry-specific problems and perform analyses that range from data visualization and exploration to model development and deployment. With the flexibility and scalability of high-performance analytics from SAS, you can meet any challenges the future may hold – no matter how big nor how complex your data and analytical demands may get.