Streaming Audio: Apache Kafka® & Real-Time Data

Un podcast de Confluent, founded by the original creators of Apache Kafka®

Catégories:

264 Épisodes

  1. Event-Driven Systems and Agile Operations

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publié: 29/03/2022

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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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