Adi Polak, Director of Advocacy and Developer Experience Engineering at Confluent, presented "Stream All the Things—Patterns of Effective Data Stream Processing" at the latest QCon San Francisco.

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes.

Confluent, Inc., the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries ...

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 ...

Tableflow works with Confluent’s data streaming platform’s existing capabilities, including stream governance features and stream processing with Apache Flink, an open-source, unified stream ...

Confluent, Inc., the data streaming pioneer, is introducing new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making.

Snapshot queries, new in Confluent Cloud for Apache Flink ®, bring together real-time and historic data processing to make artificial intelligence (AI) agents and analytics smarter.

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 ...

Technical Terms Complex Event Processing (CEP): A method for the real‐time identification and analysis of complex patterns drawn from multiple, high-velocity data streams.