v JUG's video: Rethinking stream processing with Kafka Streams and KSQL by Viktor Gamov

VirtualJUG meetup page: https://www.meetup.com/virtualJUG/events/256775017/ Abstract: All things change constantly! And dealing with constantly changing data at low latency is pretty hard. It doesn’t need to be that way. Apache Kafka, the _de facto_ standard open-source distributed stream processing system. Many of us know Kafka’s architectural and pub/sub API particulars. But that doesn’t mean we’re equipped to build the kind of real-time streaming data systems that the next generation of business requirements are doing to demand. We need to get on board with streams! Viktor Gamov will introduce Kafka Streams and KSQL—an important recent addition to the Confluent open source platform that lets you build sophisticated stream processing systems with little to no code at all! He will talk about how to deploy stream processing applications and look at the actual working code that will bring your thinking about streaming data systems from the ancient history of batch processing into the current era of streaming data! Speaker: Viktor Gamov Viktor Gamov is a Developer Advocate at Confluent, the company that makes a streaming platform based on Apache Kafka. Working in the field, Viktor Gamov developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping different organizations design and develop low latency, scalable and highly available distributed systems. Back in his consultancy days, he co-authored O’Reilly’s «Enterprise Web Development.» He is a professional conference speaker on distributed systems, Java, and JavaScript topics, and is regular on events including JavaOne, Devoxx, OSCON, QCon, and others. He blogs at http://gamov.io and produces the podcasts Razbor Poletov (in Russian) and co-hosts DevRelRad.io. Follow Viktor on Twitter @gamussa, where he posts there about gym life, food, open source, and, of course, Kafka and Confluent!