Talks

First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill […]

We know that Apache Kafka® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like ksqlDB furthermore give you the […]

The Kafka Summit Program Committee recently published the schedule for the San Francisco event, and there’s quite a bit to look forward to. For starters, it is a two-day event, […]

Let us cut to the chase: Kafka Summit London session videos are available! If you were there, you know what a great time it was, and you know that you […]

It seems like there’s a Kafka Summit every other month. Of course there’s not—it’s every fourth month—but hey, close enough. We now have the Kafka Summit New York in the […]

How many Kafka Summits should there be in a year? Experts disagree. Some say there should be one giant event where everybody gathers at once. Some say there should be […]

The East Coast called. They told us they wanted another New York Kafka Summit. So there was really only one thing we could do: We’re heading back to New York […]

The phrase time value of data has been used to demonstrate that the value of captured data diminishes by time. This means that the sooner the data is captured, analyzed […]

I have good news to share! For the first time, this October Confluent will bring to Europe two events dedicated to streaming technology: Confluent Streaming Event in Munich and Confluent […]

It has only been two weeks since the inaugural Kafka Summit London, and I’m sure many of you who attended are still internalizing what you learned there. But what about […]

This past April, Confluent hosted the inaugural Kafka Summit in San Francisco. Bringing together the entire Kafka community to share use cases, learnings and to participate in the hackathon. The […]

At the beginning of June several Confluent team members attended Berlin Buzzwords 2016, where we gave three talks focused on stream processing and distributed computing. These talks, which we summarize […]