ALT: a football player in a blue jersey with the number 17

Alt: Jessica Fletcher is reading the sins of castle cove

ALT: a black and white photo of a person saying who me ?

ALT: a logo for the buffalo bills with a red light coming out of it

ALT: a woman in a kitchen with a gingerbread house on the counter

ALT: a red flag with a buffalo bills logo and the words let 's go buffalo

Alt: Grogu pops up behind a rock

Alt: a cartoon of spongebob is ironing a shirt and vacuuming a rug .

Alt: a statue of zeus with sunglasses and a lightning bolt in the clouds

ALT: a football player with the number 17 on his jersey stands on the field

ALT: a black and white dog are sitting next to each other in a field .

Why we think SlateDB is the right foundation for a state storage service for Kafka Streams.

For their inaugural episode, Anna McDonald (the Duchess), Matthias J. Sax (the Doctor), and their extinct friend, Phil, wax rhapsodic about all things eventing: you’ll learn why events are a mindset, why the Duchess thinks you’ll find event immutability relaxing, and why your event streams might need some windows. To learn more about fundamentals across the Apache Kafka and Flink ecosystems, you can have a look at the courses here: https://cnfl.io/44IYQ1J The Duchess & The Doctor Show features a question-driven format that delivers substantial, yet easily comprehensible answers to user-submitted questions on all things events and eventing, including Apache Kafka, its ecosystem, and beyond! RELATED RESOURCES ► View another introduction to events and event streaming: https://www.youtube.com/watch?v=7Bh10yAycws ► Learn how to reason about designing your events and event streams: https://cnfl.io/4bxkXui ► Read more about windowing in a Kafka context: https://cnfl.io/4ahfJBT CHAPTERS 0:00 - Introduction 0:28 - What is Eventing? 2:37 - Organize Events Around Things That Matter to You 3:36 - Comfort of Event Immutability 4:09 - Answering a Listener Question: “What actually happens if I wait for an event but it never arrives?” 7:55 - On Windowing 9:33 - Closing Windows Using Flink .withIdleness or PAPI 11:28 - Sliding Windows Considered 14:50 - Hopping vs. Sliding Windows 17:02 - Farewell -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #kafkastreams #eventdrivenarchitecture #apachekafka #kafka #confluent #apacheflink #eventing #windowing