Streaming Audio: Apache Kafka® & Real-Time Data

En podkast av Confluent, founded by the original creators of Apache Kafka®

Kategorier:

264 Episoder

  1. From Monolith to Microservices with Sam Newman

    Publisert: 17.6.2020
  2. Exploring Event Streaming Use Cases with µKanren ft. Tim Baldridge

    Publisert: 8.6.2020
  3. Introducing JSON and Protobuf Support ft. David Araujo and Tushar Thole

    Publisert: 1.6.2020
  4. Scaling Apache Kafka in Retail with Microservices ft. Matt Simpson from Boden

    Publisert: 27.5.2020
  5. Connecting Snowflake and Apache Kafka ft. Isaac Kunen

    Publisert: 20.5.2020
  6. AMA with Tim Berglund | Streaming Audio Special

    Publisert: 18.5.2020
  7. Kubernetes Meets Apache Kafka ft. Kelsey Hightower

    Publisert: 13.5.2020
  8. Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

    Publisert: 4.5.2020
  9. IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

    Publisert: 29.4.2020
  10. Confluent Platform 5.5 | What's New in This Release + Updates

    Publisert: 24.4.2020
  11. Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

    Publisert: 22.4.2020
  12. Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

    Publisert: 16.4.2020
  13. Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

    Publisert: 15.4.2020
  14. How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

    Publisert: 6.4.2020
  15. Cloud Marketplace Considerations with Dan Rosanova

    Publisert: 30.3.2020
  16. Explore, Expand, and Extract with 3X Thinking ft. Kent Beck

    Publisert: 25.3.2020
  17. Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund

    Publisert: 24.3.2020
  18. Domain-Driven Design and Apache Kafka with Paul Rayner

    Publisert: 18.3.2020
  19. Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

    Publisert: 11.3.2020
  20. Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira

    Publisert: 4.3.2020

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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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