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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® Metadata Server
The SAS Metadata Server provides a set of common repositories for storing metadata required by various SAS solutions. The SAS Metadata Server retrieves metadata from one or more repositories as multiple SAS solutions request it. Therefore, performance is a critical issue. To this end, the SAS Metadata Server makes use of threads to enable the best response time for serving metadata to any number of clients making requests. The resource allocation of the SAS Metadata Server is controlled through a configuration file.
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.
