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 ...

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 ...

Streaming data observability startup Datorios Ltd. today announced the immediate availability of a new real-time observability platform for the big-data processing framework Apache Flink. With the new ...

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 ...

Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hazelcast is updating its namesake real-time data processing platform to ...

If you listen to enough conference talks, vendor pitches, and analyst pronouncements, you can be forgiven for assuming every organization on the planet now can sense and respond, in real time, to ...

The scenario of real-time edge computing and transmission application in satellite networks (SNs). The blue satellites serve as communication satellite for data relay, while the yellow ones are ...