In terms of the military, most people only associate big
data uses with upper level intelligence, battalion level and higher. This is,
or at least quickly becoming a misconception. One obstacle to achieving
intelligence flow down to platoon and even squad level is the current
technology. Technology currently in use in the United States Army on the ground
is surprisingly inefficient. The article mentions how soldiers come back from
deployment to a cellular device with more advanced communications and global positioning
technology than they used during their 10 to 14 month deployments. There are
current testing methods trying to remedy this, but much improved technology
will most likely not be available on a large scale for the foreseeable future. One
proposal is the “rapid adoption of commercial wireless networks.”
The DoD has been focused on methods to collect data through
programs such as Gorgon Stare, Blue Devil 2 and ARGUS so intently that key
aspect to making this data useful is overlooked. The programs are producing
data at sometimes a petabyte a day which is far beyond the amount that can be
analyzed. Currently only about a third of the data will be analyzed. While we
won’t be able to move that kind of data in the foreseeable future, we are
creating technology that will pick out the more useful information.
Three different approaches are considered:
·
Increase on-board processing of data
·
Integrate analytics into data storage
·
Automated tiering of data storage
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