Viktor Gamov is a Developer Advocate at Confluent, the company that makes an event streaming platform based on Apache Kafka. Back in his consultancy days, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping architects and developers to design and develop low latency, scalable and highly available distributed systems. He is a professional conference speaker on distributed systems, streaming data, JVM and DevOps topics, and is regular on events including JavaOne, Devoxx, OSCON, QCon, and others. He co-authored O’Reilly’s «Enterprise Web Development.» He blogs at http://gamov.io 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!
Have you ever thought that you needed to be a programmer to do stream processing? Think again! Apache Kafka provides low-latency pub-sub messaging coupled with native storage and stream processing capabilities. Integrating Kafka with RDBMS & other data stores is simple with Kafka Connect. KSQL is the open-source SQL streaming engine for Apache Kafka, and makes it possible to build stream processing applications at scale, written using a familiar SQL interface. In this talk well explain the architectural reasoning for Apache Kafka and the benefits of real-time integration, and well build a streaming data pipeline using nothing but our bare hands, Kafka Connect, and KSQL. You’ll learn how to use SQL statements to filter streams of events in Kafka, join events to data in RDBMS, and more.
|Who's tweeting about #datascicon||DataSciCon||November 2018|
|Crossing the Streams: Rethinking Stream Processing with KStreams and KSQL||Toronto Kafka Meetup||November 2018|
|Fight Crime with Kafka Streams and the Bintray Firehose API||Oracle Code One 2018||October 2018|
|Cloud-Native Streaming Platform: Apache Kafka Meets Kubernetes||Oracle Code One 2018||October 2018|
|Kafka на Kubernetes: загадочная история создания облачной платформы поточной обработки данных||Devoops||October 2018|
|Kafka Streams и KSQL: как перестать строить кластера и начать обрабатывать стримы||St. Petersburg Kafka Meetup||October 2018|
|Processing Streaming Data with KSQL||SQLSaturday||October 2018|
|Walking up the Spring for Apache Kafka Stack||SpringOne Platform||September 2018|
|Cloud-Native Streaming Platform: Running Apache Kafka on PKS (Pivotal Container Service)||SpringOne Platform||September 2018|
|Crossing The Streams: Kafka For Spring Developers||NYJavaSIG||September 2018|
|Apache Kafka — A Streaming Data Platform||San Francisco JUG||May 2018|
|Это кто там такой твитит про #jbreak?||JBreak||March 2018|