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Administration
Application for SAS Grid Computing
Benfits of SAS Grid Manager
Corporate
Online
SAS Grid Manager
Training
VirtualNuggets
https://sasgridmanageronlinetraining.blogspot.com/2015/07/benefits-of-sas-grid-computing.html
What
are the benefits of SAS grid computing?
Grid computing with SAS is capable of
offering significant benefits, such as:
• Cost savings through faster and well-organized analysis, as well as
leveraging and exploiting under or utilized computing resources within the
network.
• Improved business quickness through reducing processing times and
delivering faster results. This allows your operation to make better, more
accurate business decisions for a fraction of the time and cost.
• Enhanced association is encouraged, enabling valuable resources to be
shared and utilized collectively, efficiently, and effectively. In this way
organizations are better prepared to accomplish their goals to reduce costs and
improve productivity.
After all has been said and done, the
bottom line is this: if you're working in either the life science or healthcare
sector and your current applications require the ongoing organization and
analysis of extremely large sets of data that are not currently being harness
in a timely or cost-efficient manner, you could benefit from grid compute
implementation. Reach out to a professional to discuss your specific needs and
options, and to determine whether the SAS grid is ideal for your enterprise.
Which
applications are suitable for grid computing with SAS?
In order to take on a practical approach
to discussing the advantages and outcomes of utilizing SAS grid computing, it's
important to first define the specific types of applications that actually let
somebody use themselves to this type of compute grid implementation. As a
general rule of thumb, applications that require many hours (or multiple days
or weeks) to run can be considered strong candidates for grid computing. Such a
long run time may be indicative of the application hard replicate runs of the
same fundamental task, the processing of extremely large amounts of data, or
the decomposition of the application into execution units, data subsets, or
both. If any of these characteristics are applicable to your existing
applications, compute grid implementation could be the ideal solution.
Administration,
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