In this episode of the Real-Time Analytics Podcast, host Tim Berglund continues his conversation with Anna McDonald about Kafka Streams and the complexities of stream processing related to time. They explore the different types of windows available in Kafka Streams, including hopping, tumbling, session, and sliding windows. Anna provides insightful explanations and examples of each window type, highlighting their unique features and use cases. Don&apos;t miss out on this informative and engaging conversation on real-time analytics and Kafka Streams. Part 1 of Anna&apos;s episode: https://youtu.be/K14Kn0D-I4Y Anna&apos;s Real-Time Analytics Summit 2023 presentation: https://youtu.be/tratRsV1TiI

Inside Apache Flink: A Conversation with Robert Metzger | Ep. 13

New episodes every Monday. From StarTree, founded by the creators of Apache Pinot™, "Real-Time Analytics with Tim Berglund" is a podcast dedicated to bringing analytics from the dashboard to the user interface. Accessible but technically rich, the show focuses on the infrastructure, tools, and techniques being developed by the people building systems that are serving analytics to our users in real-time.&nbsp;