"A tremendous volume of data is created at the sources in most internet of things (IoT) environments. Historically, organizations wanting to immediately analyze all that data from their IoT sources had few options - each with major drawbacks. The use cases for IoT continue to grow, and in many situations, the volume of data generated at the edge requires bandwidth levels that can overwhelm available resources. Computation and analysis of IoT data close to the sources are critical because they allow more efficient and faster decision-making locally while also enabling subsets of the data to be reliably transported to a central analytics deployment. Things are getting more - not less -
distributed. In this eWEEK slide show, using industry information from MapR strategist Jack Norris, we share the benefits of serving analytics at the edge in an IoT environment..."
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