Edge Analytics

Edge analytics is a model of data analysis where incoming data streams are analyzed at a non-central point in the system such as a switch, a peripheral node, or a connected device or sensor. Web and mobile application analytics track a variety of metrics constantly, both on the backend and the front-end of the application’s stack.

Unlike traditional analytics models, edge analytics emphasize speed and decentralization and thus ignore normal big data collection methods. The concept is relatively new and is closely tied with the emergence of the Internet of Things (IoT) as a viable technology for the future.

What is Edge Analytics? And how can I use it?

Edge Analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other devices instead of waiting for the data to be sent back to a centralized data store. See the full article for more details.

What is EDGE streaming analytics?

Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch or other devices instead of waiting for the data to be sent back to a centralized data store.

How does Stream Analytics differ from regular Analytics?

Streaming analytics is a cloud-based service and thus is a low-cost solution. Organizations are charged per streaming unit usage. Streaming analytics is essentially all about extracting business value from data in motion in the same way traditional analytics tools make use of data at rest.