Deriving Analytical Value from Real-Time Data
May 23, 2018
“The amount of data generated by devices and machines continues to rise. Exponential data growth places an enormous amount of pressure on systems that must keep that information moving at high speeds from machines to data lakes or warehouses and into analytics platforms. Data storage and management are only a subset of today’s data-driven requirements — deriving analytical value is also extremely important. That value is difficult to show without systems that can analyze streams of information in real time. In particular, organizations are trying to enable non-technical users to elicit value from their data using off-the-shelf visualization tools.”
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