264 Epizód

  1. From Monolith to Microservices with Sam Newman

    Közzétéve: 2020. 06. 17.

  2. Exploring Event Streaming Use Cases with µKanren ft. Tim Baldridge

    Közzétéve: 2020. 06. 08.

  3. Introducing JSON and Protobuf Support ft. David Araujo and Tushar Thole

    Közzétéve: 2020. 06. 01.

  4. Scaling Apache Kafka in Retail with Microservices ft. Matt Simpson from Boden

    Közzétéve: 2020. 05. 27.

  5. Connecting Snowflake and Apache Kafka ft. Isaac Kunen

    Közzétéve: 2020. 05. 20.

  6. AMA with Tim Berglund | Streaming Audio Special

    Közzétéve: 2020. 05. 18.

  7. Kubernetes Meets Apache Kafka ft. Kelsey Hightower

    Közzétéve: 2020. 05. 13.

  8. Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

    Közzétéve: 2020. 05. 04.

  9. IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

    Közzétéve: 2020. 04. 29.

  10. Confluent Platform 5.5 | What's New in This Release + Updates

    Közzétéve: 2020. 04. 24.

  11. Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

    Közzétéve: 2020. 04. 22.

  12. Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

    Közzétéve: 2020. 04. 16.

  13. Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

    Közzétéve: 2020. 04. 15.

  14. How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

    Közzétéve: 2020. 04. 06.

  15. Cloud Marketplace Considerations with Dan Rosanova

    Közzétéve: 2020. 03. 30.

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

    Közzétéve: 2020. 03. 25.

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

    Közzétéve: 2020. 03. 24.

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

    Közzétéve: 2020. 03. 18.

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

    Közzétéve: 2020. 03. 11.

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

    Közzétéve: 2020. 03. 04.

9 / 14

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.

Visit the podcast's native language site