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)