Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

We are living in a "sensors world," where data is constantly gathered by smartphones, smart watches, sport trackers, smart devices, and even smart houses. Service providers collect this data for ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

STAMFORD, Conn., May 30, 2025--(BUSINESS WIRE)--By 2027, more than three-quarters of enterprises will be able to process events and streaming data in real time, making them more responsive to customer ...

Traditional cloud computing faces various challenges when processing large amounts of data in real time. 'Edge' computing is a promising alternative and can benefit from devices known as physical ...

An in-depth guide to overcoming fast data ingestion challenges with Redis Pub/Sub, Redis Lists, and Redis Sorted Sets Roshan Kumar is senior product manager at Redis Labs. Real-time streaming data ...

The value of edge AI within various industries. How edge AI utilizes machine learning. Which hardware works best with edge AI workloads. From smart-home assistants (think Alexa, Google and Siri) to ...