270 Epizód

  1. Building Parquet into Apache Pinot ft. Neha Pawar | Ep. 5

    Közzétéve: 2025. 10. 20.

  2. The Fix That Secured 1000s of Credit Cards ft. Brian Sletten | Ep. 4

    Közzétéve: 2025. 10. 13.

  3. How Viktor Gamov Stays Curious as Tech Rapidly Evolves | Ep. 3

    Közzétéve: 2025. 10. 06.

  4. How Tim Berglund Found His Calling | Ep. 2

    Közzétéve: 2025. 09. 29.

  5. Building Real-time Systems for Apple, Nike & more ft. Adi Polak | Ep. 1

    Közzétéve: 2025. 09. 22.

  6. We're back! Welcome to the Confluent Developer Podcast.

    Közzétéve: 2025. 09. 02.

  7. Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates

    Közzétéve: 2023. 06. 15.

  8. A Special Announcement from Streaming Audio

    Közzétéve: 2023. 04. 13.

  9. How to use Data Contracts for Long-Term Schema Management

    Közzétéve: 2023. 03. 21.

  10. How to use Python with Apache Kafka

    Közzétéve: 2023. 03. 14.

  11. Next-Gen Data Modeling, Integrity, and Governance with YODA

    Közzétéve: 2023. 03. 07.

  12. Migrate Your Kafka Cluster with Minimal Downtime

    Közzétéve: 2023. 03. 01.

  13. Real-Time Data Transformation and Analytics with dbt Labs

    Közzétéve: 2023. 02. 22.

  14. What is the Future of Streaming Data?

    Közzétéve: 2023. 02. 15.

  15. What can Apache Kafka Developers learn from Online Gaming?

    Közzétéve: 2023. 02. 08.

  16. Apache Kafka 3.4 - New Features & Improvements

    Közzétéve: 2023. 02. 07.

  17. How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

    Közzétéve: 2023. 02. 01.

  18. What is Data Democratization and Why is it Important?

    Közzétéve: 2023. 01. 26.

  19. Git for Data: Managing Data like Code with lakeFS

    Közzétéve: 2023. 01. 19.

  20. Using Kafka-Leader-Election to Improve Scalability and Performance

    Közzétéve: 2023. 01. 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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