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.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. While getting to grips with open banking regulation, ...

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 New private networking and security features ...

The de facto standard for real-time stream processing is sometimes described as being complex and difficult to learn. Start by understanding these core principles. In recent years, Apache Flink has ...

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. The real world is ...

Confluent CEO Jay Kreps argues that data stored in warehouses or lakehouses aren’t appropriate for the reliable and well-governed AI agents. Confluent CEO Jay Kreps took to the stage at the vendor’s ...

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 ...