264 Episodo

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

    Publicado: 18/3/2019

  2. Containerized Apache Kafka On Kubernetes with Viktor Gamov

    Publicado: 11/3/2019

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

    Publicado: 4/3/2019

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

    Publicado: 27/2/2019

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

    Publicado: 25/2/2019

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

    Publicado: 20/2/2019

  7. The Future of Serverless and Streaming with Neil Avery

    Publicado: 14/2/2019

  8. Using Terraform and Confluent Cloud with Ricardo Ferreira

    Publicado: 23/1/2019

  9. Ask Confluent #9: With and Without ZooKeeper

    Publicado: 8/1/2019

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

    Publicado: 18/12/2018

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

    Publicado: 3/12/2018

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

    Publicado: 5/11/2018

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

    Publicado: 18/10/2018

  14. Kafka Streams in Action with Bill Bejeck

    Publicado: 27/9/2018

  15. Joins in KSQL 5.0 with Hojjat Jafarpour

    Publicado: 20/9/2018

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

    Publicado: 10/9/2018

  17. KSQL Use Cases with Nick Dearden

    Publicado: 6/9/2018

  18. Nested Data in KSQL with Hojjat Jafarpour

    Publicado: 29/8/2018

  19. UDFs and UDAFs in KSQL 5.0 with Hojjat Jafarpour

    Publicado: 24/8/2018

  20. Ask Confluent #4: The GitHub Edition

    Publicado: 16/8/2018

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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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