264 Epizód

  1. It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

    Közzétéve: 2019. 03. 18.

  2. Containerized Apache Kafka On Kubernetes with Viktor Gamov

    Közzétéve: 2019. 03. 11.

  3. Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

    Közzétéve: 2019. 03. 04.

  4. KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

    Közzétéve: 2019. 02. 27.

  5. Splitting and Routing Events with KSQL ft. Pascal Vantrepote

    Közzétéve: 2019. 02. 25.

  6. Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

    Közzétéve: 2019. 02. 20.

  7. The Future of Serverless and Streaming with Neil Avery

    Közzétéve: 2019. 02. 14.

  8. Using Terraform and Confluent Cloud with Ricardo Ferreira

    Közzétéve: 2019. 01. 23.

  9. Ask Confluent #9: With and Without ZooKeeper

    Közzétéve: 2019. 01. 08.

  10. Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks

    Közzétéve: 2018. 12. 18.

  11. Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax

    Közzétéve: 2018. 12. 03.

  12. Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson

    Közzétéve: 2018. 11. 05.

  13. Kafka Summit SF 2018 Panel | Microsoft, Slack, Confluent, University of Cambridge

    Közzétéve: 2018. 10. 18.

  14. Kafka Streams in Action with Bill Bejeck

    Közzétéve: 2018. 09. 27.

  15. Joins in KSQL 5.0 with Hojjat Jafarpour

    Közzétéve: 2018. 09. 20.

  16. Ask Confluent #5: Kafka, KSQL and Viktor Gamov

    Közzétéve: 2018. 09. 10.

  17. KSQL Use Cases with Nick Dearden

    Közzétéve: 2018. 09. 06.

  18. Nested Data in KSQL with Hojjat Jafarpour

    Közzétéve: 2018. 08. 29.

  19. UDFs and UDAFs in KSQL 5.0 with Hojjat Jafarpour

    Közzétéve: 2018. 08. 24.

  20. Ask Confluent #4: The GitHub Edition

    Közzétéve: 2018. 08. 16.

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Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.

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