In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. Rob is a repeat entrepreneur focused on enterprise infrastructure as software.

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 ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing, is ...

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 ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J Catalano is a CFP and Registered ...

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...