270 Epizód

  1. Cloud Marketplace Considerations with Dan Rosanova

    Közzétéve: 2020. 03. 30.

  2. Explore, Expand, and Extract with 3X Thinking ft. Kent Beck

    Közzétéve: 2020. 03. 25.

  3. Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund

    Közzétéve: 2020. 03. 24.

  4. Domain-Driven Design and Apache Kafka with Paul Rayner

    Közzétéve: 2020. 03. 18.

  5. Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

    Közzétéve: 2020. 03. 11.

  6. Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira

    Közzétéve: 2020. 03. 04.

  7. Towards Successful Apache Kafka Implementations ft. Jakub Korab

    Közzétéve: 2020. 02. 26.

  8. Knative 101: Kubernetes and Serverless Explained with Jacques Chester

    Közzétéve: 2020. 02. 19.

  9. Paving a Data Highway with Kafka Connect ft. Liz Bennett

    Közzétéve: 2020. 02. 12.

  10. Distributed Systems Engineering with Apache Kafka ft. Jun Rao

    Közzétéve: 2020. 02. 05.

  11. How to Write a Successful Conference Abstract | Streaming Audio Special

    Közzétéve: 2020. 02. 04.

  12. Streaming Call of Duty at Activision with Apache Kafka ft. Yaroslav Tkachenko

    Közzétéve: 2020. 01. 27.

  13. Confluent Platform 5.4 | What's New in This Release + Updates

    Közzétéve: 2020. 01. 22.

  14. Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar

    Közzétéve: 2020. 01. 13.

  15. Location Data and Geofencing with Apache Kafka ft. Guido Schmutz

    Közzétéve: 2020. 01. 08.

  16. Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote

    Közzétéve: 2019. 12. 30.

  17. Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi

    Közzétéve: 2019. 12. 23.

  18. Apache Kafka 2.4 – Overview of Latest Features, Updates, and KIPs

    Közzétéve: 2019. 12. 16.

  19. Cloud-Native Patterns with Cornelia Davis

    Közzétéve: 2019. 12. 16.

  20. Ask Confluent #16: ksqlDB Edition

    Közzétéve: 2019. 12. 12.

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Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their understanding and approach to building systems. Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®,  Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.

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