AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular ...

The first step to sizing or scaling Kafka for optimal cost and performance is understanding how the data streaming platform uses resources. Here’s a primer. Teams implementing Apache Kafka, or ...

Organizations building real-time stream processing systems on Apache Kafka will be able to trust the platform to deliver each messages exactly once when they adopt new Kafka technology planned to be ...

Analytics is often described as one of the biggest challenges associated with big data, but even before that step can happen, data has to be ingested and made available to enterprise users. That’s ...

Change is coming for users of Apache Kafka, the leading distributed event-streaming platform. Apache ZooKeeper, Kafka’s metadata management tool, will soon be phased out in favor of internal ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The ability to move, manage and process ...

The latest trends and issues around the use of open source software in the enterprise. TIBCO extends its open source credentials this month with commercial support and services for Apache Kafka as ...

The open-source technology behind hot startup Confluent, which allows companies to stream vast amounts of data for near-instant use, has earned it supporters at a who’s who of tech companies (think ...