Whitepaper: The Value of Bringing Analytics to the Edge

One of the ways organizations are beginning to get more insight and value from Internet of Things data is by architecting for analytics at the 'edges' of their environments. This architecture requires that analytics be embedded both directly within endpoints such as sensors, controllers, equipment and machines, and in nearby aggregation locations such as basements, control rooms, data closets and ceilings.

This paper outlines best practices for building IoT edge analytics architectures.

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One of the ways organizations are beginning to get more insight and value from Internet of Things data is by architecting for analytics at the 'edges' of their environments. This architecture requires that analytics be embedded both directly within endpoints such as sensors, controllers, equipment and machines, and in nearby aggregation locations such as basements, control rooms, data closets and ceilings.

This paper outlines best practices for building IoT edge analytics architectures.