Not all data needs to be acted upon instantly but it is necessary to identify what data should be looked at straight away and what can sit in a database or a data lake before it is analysed.
Self-service Business Intelligence and in-memory databases have helped to increase the attention given to fast data as vendors have been increasingly active in providing this capability to their users’.
Potential use cases for fast data include being used for smart grid applications that can analyse real-time electric power usage across thousands of locations. The benefit of this would be the ability to balance supply across the grid and to more efficiently meet demand in different geographical areas.
Fast data also has a potential use case with security for smart surveillance cameras. Its use would be able to combine fast data with predictive analytics to identify and flag potential security issues.