Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.
In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a ...
SAN FRANCISCO, June 27, 2023 (GLOBE NEWSWIRE) -- RisingWave Labs, the company behind the distributed SQL streaming database built for the cloud, today announced the general availability of RisingWave ...
Stream All the Things: Patterns of Effective Data Stream Processing Explored by Adi Polak at QCon SF
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Modern enterprises are hitting scale (>100 million users) at an unprecedented rate. Building applications to retrospectively meet this scale is no longer an option. And scale isn’t just limited to end ...
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 "Agentic AI is moving from hype to enterprise ...
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