264 Epizód

  1. Confluent Platform 5.3 | What's New in This Release

    Közzétéve: 2019. 07. 31.

  2. How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

    Közzétéve: 2019. 07. 29.

  3. Ask Confluent #14: In Control of Kafka with Dan Norwood

    Közzétéve: 2019. 07. 22.

  4. Kafka in Action with Dylan Scott

    Közzétéve: 2019. 07. 15.

  5. Change Data Capture with Debezium ft. Gunnar Morling

    Közzétéve: 2019. 07. 10.

  6. Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson

    Közzétéve: 2019. 07. 02.

  7. Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

    Közzétéve: 2019. 06. 25.

  8. Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

    Közzétéve: 2019. 06. 25.

  9. Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

    Közzétéve: 2019. 06. 18.

  10. Why Kafka Connect? ft. Robin Moffatt

    Közzétéve: 2019. 06. 12.

  11. Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

    Közzétéve: 2019. 06. 03.

  12. Why is Stream Processing Hard? ft. Michael Drogalis

    Közzétéve: 2019. 05. 29.

  13. Testing Kafka Streams Applications with Viktor Gamov

    Közzétéve: 2019. 05. 20.

  14. Chris Riccomini on the History of Apache Kafka and Stream Processing

    Közzétéve: 2019. 05. 16.

  15. Ask Confluent #13: Machine Learning with Kai Waehner

    Közzétéve: 2019. 05. 08.

  16. Diving into Exactly Once Semantics with Guozhang Wang

    Közzétéve: 2019. 04. 22.

  17. Ask Confluent #12: In Search of the Lost Offsets

    Közzétéve: 2019. 04. 17.

  18. Ben Stopford on Microservices and Event Streaming

    Közzétéve: 2019. 04. 08.

  19. Magnus Edenhill on librdkafka 1.0

    Közzétéve: 2019. 04. 03.

  20. Ask Confluent #11: More Services, More Metrics, More Fun

    Közzétéve: 2019. 03. 26.

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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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