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. When it comes to ksqlDB or Kafka Streams, there’s one principle to keep in mind: ksqlDB and Kafka Streams share a runtime. ksqlDB runs its SQL queries by dynamically writing Kafka Streams typologies. Leveraging Confluent Cloud makes it even easier to use ksqlDB.Once you are familiar with ksqlDB’s basic design, you’ll be able to troubleshoot problems and build real-time applications more effectively. The Inside ksqlDB course is designed to help you advance in ksqlDB and Kafka. Paired with hands-on exercises and ready-to-use codes, the course covers topics including: ksqlDB architectureHow stateless and stateful operations workStreaming joins Table-table joinsElastic scaling High availabilityMichael also sheds light on ksqlDB’s roadmap: Building out the query layer so that is highly scalable, making it able to execute thousands of concurrent subscriptionsMaking Confluent Cloud the best place to run ksqlDB and process streamsTune in to this episode to find out more about the Inside ksqlDB course on Confluent Developer. The all-new website provides diverse and comprehensive resources for developers looking to learn about Kafka and Confluent. You’ll find free courses, tutorials, getting started guides, quick starts for 60+ event streaming patterns, and more—all in a single destination. EPISODE LINKSInside ksqlDB Course ksqlDB 101 CourseHow ksqlDB Works: Internal Architecture and Advanced FeaturesHow Real-Time Stream Processing Safely Scales with ksqlDB, AnimatedHow Real-Time Materialized Views Work with ksqlDB, AnimatedHow Real-Time Stream Processing Works with ksqlDB, AnimatedWatch the video version of this podcastJoin the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo  🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes.👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.