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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.
SPD Server
The Scalable Performance Data Server (SPD Server) is a client/server, multi-user data server designed to optimize storage and to speed the processing of large SAS data sets. SPD Server does this by parallelizing many of the SAS I/O functions such as WHERE processing and INDEX creation over multiple data partitions in the same way that the SPD Engine works. However, SPD Server extends parallel capabilities to include GROUP BY processing and SQL passthru. SPD Server requires an SMP machine and is designed to use all resources available on the machine to achieve maximum scalability. The maximum benefit with SPD Server is gained when it is run on a machine with:- multiple cpus
- multiple I/O channels
- multiple disks
- large amount of data to be partitioned
In addition to parallel processing capabilities, SPD Server also provides security features including userid/password validation and ACL file security. It also provides backup and recovery facilities.
In order to use SPD Server you must invoke two sessions on the server machine: one to run a name server and one to run the actual data server. When a client connects to SPD Server through the use of a libname statement, a proxy SAS session (spdsbase) is automatically started to process all client requests. SPD Server 4 supports server sessions on HP-UX, Solaris, AIX, Compaq's Digital Unix, and Windows NT. The client applications can execute in sessions on the same or different machines. The client applications connect to the server using syntax on the libname statement. Therefore, once the server environment has been initiated, code modifications are limited to the libname statement(s) in the client application.
SPD Server was initially released in conjunction with Release 6.12 of the SAS System. SPD Server provides a high performance data store of very large SAS data sets. Therefore, it is particularly suited as part of a data warehousing solution where the SAS system is being used to construct, manage and analyze enterprise-wide datamarts.
For more information about the SPD Server product, click here.
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.
