14 Ways IoT Will Change Big Data And Business Forever - InformationWeek

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Data Management // IoT
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12/14/2015
08:00 AM
Lisa Morgan
Lisa Morgan
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14 Ways IoT Will Change Big Data And Business Forever

The Internet of Things (IoT) has gained momentum. Sensors are now small and cheap enough to embed in all kinds of devices, and more companies are leveraging the vast data generated. Here are some key drivers your company needs to remember as you jump into IoT.
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Data Volumes Explode 
The organizations embracing IoT devices see exponential increases in the amount of available data. The deployment model has been to grab a sensor message and then communicate the message through an IPv6 protocol to a machine cloud. However, as the volume of data increases, that model may no longer be viable. 
'If I'm capturing the temperature readings [of assets or equipment] every second, most of those readings are inconsequential and I reduce the value of the payload of the data by sending it all,' said Don DeLoach, co-chair of the  ITA Midwest IoT Council, in an interview. 'One of the downsides of storing vast amounts of data is [the time to insights]. If each dataset is over a petabyte and I'm running complex queries, it might take five hours just to get my answer back. If I don't even know if I'm asking the right question, that's a big price to pay.' 
(Image: geralt via Pixabay)

Data Volumes Explode

The organizations embracing IoT devices see exponential increases in the amount of available data. The deployment model has been to grab a sensor message and then communicate the message through an IPv6 protocol to a machine cloud. However, as the volume of data increases, that model may no longer be viable.

"If I'm capturing the temperature readings [of assets or equipment] every second, most of those readings are inconsequential and I reduce the value of the payload of the data by sending it all," said Don DeLoach, co-chair of the ITA Midwest IoT Council, in an interview. "One of the downsides of storing vast amounts of data is [the time to insights]. If each dataset is over a petabyte and I'm running complex queries, it might take five hours just to get my answer back. If I don't even know if I'm asking the right question, that's a big price to pay."

(Image: geralt via Pixabay)

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