264 Epizód

  1. Event-Driven Systems and Agile Operations

    Közzétéve: 2022. 07. 21.
  2. Streaming Analytics and Real-Time Signal Processing with Apache Kafka

    Közzétéve: 2022. 07. 14.
  3. Blockchain Data Integration with Apache Kafka

    Közzétéve: 2022. 07. 07.
  4. Automating Multi-Cloud Apache Kafka Cluster Rollouts

    Közzétéve: 2022. 06. 30.
  5. Common Apache Kafka Mistakes to Avoid

    Közzétéve: 2022. 06. 23.
  6. Tips For Writing Abstracts and Speaking at Conferences

    Közzétéve: 2022. 06. 16.
  7. How I Became a Developer Advocate

    Közzétéve: 2022. 06. 09.
  8. Data Mesh Architecture: A Modern Distributed Data Model

    Közzétéve: 2022. 06. 02.
  9. Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

    Közzétéve: 2022. 05. 26.
  10. Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB

    Közzétéve: 2022. 05. 19.
  11. Apache Kafka 3.2 - New Features & Improvements

    Közzétéve: 2022. 05. 17.
  12. Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli

    Közzétéve: 2022. 05. 11.
  13. Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic

    Közzétéve: 2022. 05. 05.
  14. Build a Data Streaming App with Apache Kafka and JS - Coding in Motion

    Közzétéve: 2022. 05. 03.
  15. Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao

    Közzétéve: 2022. 04. 28.
  16. Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood

    Közzétéve: 2022. 04. 21.
  17. Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic

    Közzétéve: 2022. 04. 13.
  18. Confluent Platform 7.1: New Features + Updates

    Közzétéve: 2022. 04. 12.
  19. Scaling an Apache Kafka Based Architecture at Therapie Clinic

    Közzétéve: 2022. 04. 07.
  20. Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

    Közzétéve: 2022. 03. 29.

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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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