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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 ...

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 ...

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 ...

Let the OSS Enterprise newsletter guide your open source journey! Sign up here. Data may well be world’s most valuable resource today, given the role it plays in driving all manner of business ...

The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

During its 18 months of operation in the early 1860s, the Pony Express was a shining example of the inextricable link between data delivery and data processing. While an innovation for its time, the ...

In batch processing, if costs are not isolated, high-volume customers and products tend to subsidize lower-volume ones. This article reviews different types of batch activities and how they would be ...

With 82% of enterprises running hybrid cloud and AI compressing patch-to-exploit windows to 72 hours, batch-based detection ...

Arla Foods’ new dairy plant in England provides ample evidence that necessity is indeed the mother of invention. Head of engineering Soeren Vonsild describes Arla’s necessity this way. “In this dairy, ...