Streaming Audio: A Confluent Podcast about Apache Kafka

Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.

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  • Kafka
  • Kafka 101
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Episode 171August 11, 2021 | 28 min

Advanced Stream Processing with ksqlDB ft. Michael Drogalis

ksqlDB makes it easy to read, write, process, and transform data on Apache Kafka the de facto event streaming platform. With simple SQL syntax, pre-built connectors, and materialized views, ksqlDB’s powerful stream processing capabilities enable you to quickly start processing real-time data at scale. But how does ksqlDB work? In this episode, Michael Drogalis (Principal Product Manager, Product Management, Confluent) previews an all-new Confluent Developer course – Inside ksqlDB, where he provides a full overview of ksqlDB’s internal architecture and delves into advanced ksqlDB features.

Episode 170August 5, 2021 | 31 min

Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour

Building a large, stateful Kafka Streams application that tracks the state of each outgoing email is crucial to marketing automation tools like Mailchimp. Joining us today in this episode, Mitch Seymour, staff engineer at Mailchimp, shares how ksqlDB and Kafka Streams handle the company’s largest source of streaming data.

Episode 112August 3, 2020 | 39 min

Testing ksqlDB Applications ft. Viktor Gamov

Viktor Gamov (Developer Advocate, Confluent) returns to Streaming Audio to explain the magic of ksqlDB, ideal testing environments for ksqlDB, and the ksqlDB test runner. He also talks about the future of ksqlDB, the future of integration testing, and his favorite new feature among recent upgrades.

Episode 72December 12, 2019 | 30 min

Ask Confluent #16: ksqlDB Edition

Vinoth Chandar and Gwen Shapira discuss what ksqlDB is, the kinds of applications that you can build with it, vulnerabilities, and various ksqlDB use cases. They also talk about what's currently the best version of Apache Kafka version for performance improvements that don’t cause breaking changes to existing Kafka configuration and functionality.

Episode 69November 20, 2019 | 26 min

Announcing ksqlDB ft. Jay Kreps

Jay Kreps introduces ksqlDB, the event streaming database purpose-built for stream processing applications. As the successor to KSQL, ksqlDB is a specialized database for stream processing on top of Kafka, merging the concepts behind streams of data with tables of data.

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Meet your host

Tim Berglund

Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.

Got questions?

If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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