In simple terms, Edge analytics is defined as the combined procedure of doing a collection of data, processing of data, and data analysis at the edge of a network, which means either too close or at the sensor for where the data is being generated.
Comparing Types of Analytics
Below are the three factors which make Edge Analytics different from other types of analytics
- It can reduce Data analytics latency.
- It can be used to increase the scalability of analytics.
- It can help to handle the tasks and the problem of low bandwidth ecosystems and environments.
Edge Analytics Applications
Edge Analytics can be used where there is a strict need to extract the insights of the data at the edge, for example - Handling Data Analytics for Industries like Manufacturing, Retail, Energy, Transportation, and Smart cities. It can be used where there there is a requirement of doing Data Analytics on the basis of the data generated by IoT devices.