The batch processing feature is suitable for OEMs and end users with thermal processes who seek to collect manufacturing part processing thermal data, simplifying and automating data record entry and ...

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.

Emerson has introduced DeltaV Edge Environment 2.0, the newest version of its edge technology for delivering OT (operations technology) applications and contextualized control data anywhere in the ...

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 ...

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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 ...

You don’t have to go it alone when searching for and maintaining the perfect batch. Through machine learning and AI-based batch control, the arduous search becomes easier to realize.

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 ...

Batch processing, or batch production, is a scaled-down version of assembly line production. Products are produced in groups instead of in continuous streams as they are on assembly lines. However, ...

Batch process manufacturers are continuously looking for new ways to improve processes and production techniques and to be more efficient to remain competitive. Although manufacturers see new ...