If that sounds familiar, it's because real-time applications are the premise behind something we have been covering a lot: Frameworks for streaming, real-time data processing.

Real-time data processing is more important than ever for making fast, critical business decisions. Here are some ways to achieve that.

Batch data processing is too slow for real-time AI: How open-source Apache Airflow 3.0 solves the challenge with event-driven data orchestration ...

Conclusion Preventing downtime in real-time data processing ensures that businesses can leverage timely insights, fostering agility and informed decision-making.

GPUs will process information, and then stop and share that information, Hoff notes, and the time used for that networking and data transfer can represent up to 50 percent of the total compute time, ...