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Kafka Summit San Francisco 2019: Day 2 Recap

Confluent

If you looked at the Kafka Summits I’ve been a part of as a sequence of immutable events (and they are, unless you know something about time I don’t), it would look like this: New York City 2017, San Francisco 2017, London 2018, San Francisco 2018, New York City 2019, London 2019, San Francisco 2019.

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Announcing the Confluent Community Catalyst Program

Confluent

We’re grateful that the Apache Kafka ® and Confluent communities are composed of hundreds of thousands of people all over the world who are constantly doing all of these things. A Confluent Community Catalyst is a person who invests their time and energy relentlessly in the Apache Kafka and Confluent communities. You know things.

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Using Graph Processing for Kafka Stream Visualizations

Confluent

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Kafka already allows you to look at data as streams or tables; graphs are a third option, a more natural representation with a lot of grounding in theory for some use cases. 8, and so on.

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Introducing Derivative Event Sourcing

Confluent

In the above scenario, we would have to update all five services to connect to Apache Kafka ® , create the event in all the appropriate places inside each service, and then produce that event to a Kafka topic. The first point to consider is if connecting to Kafka from all services is even possible.