"Big data" is also about the increasing number of data types that are coming into systems, which need to be handled differently than simple email, data logs and credit card records. It's also about the speed at which all this data is moving from endpoints into storage.
The IT term
"big data" is currently getting close to the same hot-button
treatment that cloud computing did five years ago, and for good reason.
increasing amount of business data-created both by humans and by machines-is
having major effects on IT systems, which are struggling to store, tier and
make easily accessible all that information.
But it's not
just about high volumes of data. It's also about the increasing number of data
types that are coming into systems, which need to be handled differently from
simple email, data logs and credit card records. It's also about the speed at
which all this data is moving from endpoints into storage.
lines, IT researcher Gartner came out June 27 with a report that claims many IT
decision makers are attempting to manage big-data problems by focusing
exclusively on the high volumes of information-to the exclusion of the other
facets of information management, which could lead to difficulties later.
information management disciplines and technologies are simply not up to the
task of handling all these dynamics," said Gartner Research Vice President
Mark Beyer. "Information managers must fundamentally rethink their
approach to data by planning for all the dimensions of information management.
business' demand for access to the vast resources of big data gives information
managers an opportunity to alter the way the enterprise uses information. IT
leaders must educate their business counterparts on the challenges while
ensuring some degree of control and coordination so that the big-data
opportunity doesn't become big-data chaos, which may raise compliance risks,
increase costs and create yet more silos," he said.