Streaming Analytics

What Does Streaming Analytics Mean?

Streaming analytics work by allowing organizations to
set up real-time analytics computations on data streaming from applications,
social media, sensors, devices, websites and more. Streaming analytics provide
quick and appropriate time-sensitive processing along with language
integration for intuitive specifications. Streaming analytics make use of a simple
SQL variant and reduce the complexities of stream processing systems.

Advertisements

Techopedia Explains Streaming Analytics

Enormous amounts of data are constantly flowing through wires. Organizations that can act on this streaming data can improve their efficiency drastically. Real-time streaming analytics help a range of industries by issuing alerts when customer experience is degraded, real-time fraud detection and so on.

Streaming analytics are highly scalable and can easily handle high event throughput of up to 1 GB/second. It is reliable and can help prevent data loss through its built-in recovery capabilities. Streaming analytics is a cloud-based service and thus is a low cost solution. Organizations are charged per the 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.

Advertisements

Related Terms

Latest Analytics Terms

Related Reading

Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…