Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

The more data you can process in a shorter time frame, the greater the chance you have to gain that all-important edge against your rivals. Increasingly, this means stream processing — a type of data ...

Real-time stream processing isn’t a new concept, but it’s experiencing renewed interest from organizations tasked with finding ways to quickly process large volumes of streaming data. Luckily for you, ...

The most promising emerging opportunity for that functionality is stream processing, which captures and analyzes all that event data into actionable insights based on up-to-the-minute information.

new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing, is one of these new paradigms. Many organizations have adopted it already, others have it in ...

One of those is real-time stream data processing, interest in which has been quietly building over the past couple of years for several high-impact use cases. IDC says the stream processing market is ...

Slogans like ‘data is the new oil’ were widely accepted as unquestionable truth. But with this hype, different ideas and solutions have been considered, and then rejected. Event stream processing may ...

RisingWave Labs is attracting money because it’s on a mission to democratize a data stream processing technology that until now has been available to only a select few organizations. Stream ...

On the flip side, when organizations lack stream processing technology, they’re unable to act on data until it’s at least somewhat stale in a best-case scenario. Today, all enterprises face ...

Real-time data streaming. From car design to engine performance to driver biometrics, data has long played a pivotal role across the sport. But the gear shift from batch processing to real-time ...

We call such a form of data processing stream data. In streaming data, various types of data sources can be collected, managed, stored, analyzed in real time and provided with information.