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Grid & HPC Solutions

Grid Computing is to create shared environment to manage large volumes of processing data. Data Science Technologies (DST) with its parent organization has more than a decade of experience to configure and architect similar environments. These environments have evolved over the years to become more powerful and economical. DST has resources who design your compute as per the processing of the data in much wider domain needs. Over the years, we have designed many systems for Healthcare, Oil & Gas, Education, Media & Broadcasting, Security & Surveillance, Government and Industrial and Scientific Research.

However, DST concentrates on solutions for the Big Data Environment and actively configure system with our partners viz., SAS

SAS Grid Solution

What Can SAS® Grid Computing Do for You?

  • Manage jobs and users more efficiently. Central administration helps you monitor and manage multiple users and applications under a given set of constraints. IT can meet service-level demands by easily reassigning computing resources to manage peak workloads and changing business needs.
  • Avoid user or source disruptions. Multiple servers in a grid environment enable jobs to run on the best available resource. If a server fails, you can transition its jobs seamlessly to other servers – providing a highly available business analytics environment.
  • Enhance IT performance. Multiprocessing capabilities lets you divide individual jobs into sub-tasks that are run in parallel on the best-available hardware resource in a grid environment enabling faster processing of data integration, reporting and analytical jobs speeds decision making across the enterprise.

How Is SAS® Grid Computing Different?

  • Faster, better business decision making. SAS Grid Computing combines proven, industry-leading computing middleware from Platform Computing with the power of SAS Analytics to scale business processes and accelerate decisions for greater competitive advantage.
  • More efficient big data and analytic processing. SAS solutions for data management, predictive analytics and reporting automatically submit jobs to a centrally managed grid of shared computing resources enabling big data and complex analytics to run faster and continuously.
  • A cost-effective processing environment. Grid computing enables IT to add low-cost commodity hardware resources incrementally without disruption to the organization which eliminates the need to size today’s environment for your future needs.

Grid Computing Products from SAS


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