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.

As enterprises increasingly rely on both real-time and historical data to drive business impact, the need to unify batch and streaming analytics has never been greater. According to IDC, the stream ...

Most enterprise IT operations rely heavily on batch processing operations. The reliance doesn't go away when you move to a service-oriented architecture (SOA), yet SOA just means online transaction ...

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 ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

Typically, most applications consist of both batch and online workloads. This is true even today, when most of our attention has turned to online and web-based interaction. Sure, online activities are ...

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 ...