Gone are the days of waiting hours and days for data analysis.
By 2018, some 40 percent of data from the IoT will be analyzed close to or on the edge of the network.
IoT machines and sensors generate so much data so quickly that data must be analyzed and filtered at the edge. It is only then that use cases such as asset performance, production optimization, smart energy grids, retail sales with beacons, smart transportation, and predictive maintenance occur.
In this free eBook, you will learn:
- Types of analyses performed at the edge vs. the cloud and data center
- Fog computing vs. edge analytics, including latency considerations
- Edge computing models
- Where gateways and controllers fit into an IoT architecture
- Case studies for applying edge analytics in the enterprise
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