Streaming Audio: Apache Kafka® & Real-Time Data

En podcast af Confluent, founded by the original creators of Apache Kafka®

Kategorier:

264 Episoder

  1. Towards Successful Apache Kafka Implementations ft. Jakub Korab

    Udgivet: 26.2.2020
  2. Knative 101: Kubernetes and Serverless Explained with Jacques Chester

    Udgivet: 19.2.2020
  3. Paving a Data Highway with Kafka Connect ft. Liz Bennett

    Udgivet: 12.2.2020
  4. Distributed Systems Engineering with Apache Kafka ft. Jun Rao

    Udgivet: 5.2.2020
  5. How to Write a Successful Conference Abstract | Streaming Audio Special

    Udgivet: 4.2.2020
  6. Streaming Call of Duty at Activision with Apache Kafka ft. Yaroslav Tkachenko

    Udgivet: 27.1.2020
  7. Confluent Platform 5.4 | What's New in This Release + Updates

    Udgivet: 22.1.2020
  8. Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar

    Udgivet: 13.1.2020
  9. Location Data and Geofencing with Apache Kafka ft. Guido Schmutz

    Udgivet: 8.1.2020
  10. Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote

    Udgivet: 30.12.2019
  11. Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi

    Udgivet: 23.12.2019
  12. Apache Kafka 2.4 – Overview of Latest Features, Updates, and KIPs

    Udgivet: 16.12.2019
  13. Cloud-Native Patterns with Cornelia Davis

    Udgivet: 16.12.2019
  14. Ask Confluent #16: ksqlDB Edition

    Udgivet: 12.12.2019
  15. Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner

    Udgivet: 4.12.2019
  16. Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood

    Udgivet: 27.11.2019
  17. Announcing ksqlDB ft. Jay Kreps

    Udgivet: 20.11.2019
  18. Installing Apache Kafka with Ansible ft. Viktor Gamov and Justin Manchester

    Udgivet: 18.11.2019
  19. Securing the Cloud with VPC Peering ft. Daniel LaMotte

    Udgivet: 13.11.2019
  20. ETL and Event Streaming Explained ft. Stewart Bryson

    Udgivet: 6.11.2019

10 / 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