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Kafka Streams and the Complexity of Time with Anna McDonald, Confluent | Ep. 12
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Manage episode 366573585 series 3463469
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't miss out on this informative and engaging conversation on real-time analytics and Kafka Streams.
Part 1 of Anna's episode: https://youtu.be/K14Kn0D-I4Y
Anna's Real-Time Analytics Summit 2023 presentation: https://youtu.be/tratRsV1TiI
60 פרקים
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 20, 2024 08:18 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 366573585 series 3463469
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't miss out on this informative and engaging conversation on real-time analytics and Kafka Streams.
Part 1 of Anna's episode: https://youtu.be/K14Kn0D-I4Y
Anna's Real-Time Analytics Summit 2023 presentation: https://youtu.be/tratRsV1TiI
60 פרקים
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