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SASŪ 9.3 in a Distributed Grid Environment with DataDirect™ Networks GRIDScaler File Storage System
A scale out envrionment with a reliable and high performance shared parallel file system. -
Four ways big data can benefit your business
Three industries, three customers, four big uses of high-performance analytics. -
SASŪ honored for analytics innovation
SASŪ among KMWorld 100 Companies That Matter in Knowledge Management. - SASŪ grid technology powers Wharton School business research
By applying grid computing - along with several SASŪ data integration and analytics technologies - WRDS enables researchers, teachers and students to easily retrieve data and analyze today's critical economic questions. - To meet Big Data challenge, Asia-Pacific companies turn to
Big Data Analytics from SASŪ to drive next best action
With 220 million customers and 600 million accounts, the Industrial and Commercial Bank of China Ltd. (ICBC) relies on software from SASŪ to make better business decisions, build stronger customer relationships, and improve risk management. - Samsung Securities picks big data analytics from SASŪ, Plaform
Computing to manage risk
By applying SASŪ Grid Manager to its SASŪ for Enterprise Risk Management system, Samsung Securities expects to increase overall risk calculation throughput by 30 percent while also improving the accuracy of the analysis. - Bank of America avoids gridlock in credit-risk scoring,
forecasts using SASŪ
Bank of America uses a SASŪ grid environment to reduce loan default calculation times from 96 hours down to just 4 saving valuable time and money. - Telstra digs down under data with SASŪ to improve
customer experiences.
Telstra, Australia's leading telecommunications company, uses SASŪ Analytics powered by Grid to improve predictive modeling capabilities, enhance customer service and secure its role as a market leader.
SAS® OLAP Server
The SAS Online Analytical Processing Server (SAS OLAP Server) is a multi-user, scalable, online analytical processing server that can be used to store and access large volumes of data while maintaining system performance. The SAS OLAP Server allows data to be stored as a cube and then analyzed from many different view points or dimensions. The data can be multidimensional (MOLAP) or a hybrid combination (HOLAP). Because the volume of data stored in these databases and the number of users making requests to the server at any one time can be very large, it is important that the software used to deliver the data be scaled for maximum performance.The SAS 9 OLAP Server makes use of many new features to provide maximum performance. It makes use of the same storage technology used by the SPD Engine for storing and accessing the cubes. The SAS OLAP Server is also threaded to provide parallel I/O to partitioned data and parallel processing of the data as it is read. The amount of threading that the server actually performs can be user-controlled by an option in the server configuration as well as in the administrator user-interface. These enhancements result in a scalable SAS OLAP Server that provides faster access and processing of your data.
We at SAS have created the Scalability Community to make you aware of the connectivity and scalability features and enhancements that you can leverage for your SAS installation. The success of this community depends on you. Send electronic mail to scalability@sas.com with your comments, requirements, and suggestions.
