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Hot Topics

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  By applying grid computing - along with several SAS® data integration and analytics technologies - WRDS enables researchers, teachers and students to easily retrieve data and analyze today's critical economic questions.
• Bank of America avoids gridlock in credit-risk scoring, forecasts using SAS®
  Bank of America uses a SAS® grid environment to reduce loan default calculation times from 96 hours down to just 4 saving valuable time and money.

Introduction to SAS Grid Computing

SAS Grid Manager provides a shared, centrally managed analytic computing environment that provides high availability and accelerates processing. It provides workload management to optimally process multiple applications and workloads to maximize overall throughput. A SAS Grid environment also provides the flexibility to incrementally grow the computing infrastructure as the number of users and the size of data increase over time as well as the ability to do rolling maintenance and upgrades without any disruption to the user community.

Watch this short video for an overview of the benefits of SAS Grid Manager.

SAS Grid Manager supports two different grid providers:

SAS Grid Manager with the Platform Suite for SAS to provide workload management, high availability and enterprise scheduling. This is a very mature and robust product with the following high level architecture:

SAS Grid Manager for Hadoop which uses components in the Hadoop ecosystem to provide resource management, high availability and enterprise scheduling. Click here for more information that is specific to SAS Grid Manager for Hadoop. SAS Grid Manager for Hadoop is part of SAS 9.4M3 and has the following high level architecture:

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.