Another use for analytics is understanding the operational aspects of the data stream. How many events are flowing from the sources? How many reach the targets? How do these match up against the historical or projected norms for the environment? In each of these cases, it important to understand these operational-visibility key performance indicators to properly manage any streaming environment. Data engineers cannot wait for a static report or dashboard to provide the real-time insights to properly manage a streaming environment.
Finally, as organizations implement streaming analytical applications based on their business events, they will need to perform analytics in-flight and augment the data with that information. As usage scenarios like fraud management in real-time ordering become more prevalent, it is important for organizations to be able to provide analytical results that match the speed of those use cases. This enables not only the competitive advantage aspects of these use cases, but it allows the risks associated with these leading-edge real-time usage scenarios to be mitigated as well.
To learn more about the benefits of performing processing and analytics in-flight, visit our Striim Platform Overview product page, schedule a demo with a Striim technologist, or download a free trial of the Striim platform and demo it yourself.