SAS (News - Alert) High-Performance Analytics Server is stated to be an in-memory solution that allows one to develop analytical models using complete data, not just a subset or aggregate. Now the server has been upgraded to support more analytics including text mining and optimization and will make use of Hadoop Distributed File System (HDFS), an open source big data infrastructure.
SAS High-Performance Analytics Server supposedly delivers fast performance to evaluate alternative scenarios, quickly detect changes in volatile markets, and make timely, optimal recommendations.
Jim Davis, SAS senior vice president and chief marketing officer commented, “SAS has ramped up R&D on our high-performance analytics family. Our customers say lightning-fast analytic insights with SAS High-Performance Analytics Server provide powerful competitive advantage. These latest enhancements, including additional support for Hadoop and HDFS, make it easier to achieve value from big data.”
The newly integrated upgrades for the Analytics Server is expected to boost big data analytics and users can now analyze more data, perform more model iterations and run more sophisticated algorithms to realize faster results and better insights. The server supposedly uses a data agnostic platform that supports access to large data stored in nearly any format currently on the market.
Some of the new capabilities integrated into the SAS Analytics Server are: faster build time for predictive and descriptive models over SAS Enterprise Miner which can now also be used to unlock information from extremely large document collections; improve large-scale optimization in existing SAS/OR procedures; blends true mathematical optimization with big data which in turn helps customers make best possible decisions; and more.