Streaming Audio: Apache Kafka® & Real-Time Data

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

Kategorier:

264 Episoder

  1. Confluent Platform 5.3 | What's New in This Release

    Publisert: 31.7.2019
  2. How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

    Publisert: 29.7.2019
  3. Ask Confluent #14: In Control of Kafka with Dan Norwood

    Publisert: 22.7.2019
  4. Kafka in Action with Dylan Scott

    Publisert: 15.7.2019
  5. Change Data Capture with Debezium ft. Gunnar Morling

    Publisert: 10.7.2019
  6. Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson

    Publisert: 2.7.2019
  7. Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

    Publisert: 25.6.2019
  8. Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

    Publisert: 25.6.2019
  9. Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

    Publisert: 18.6.2019
  10. Why Kafka Connect? ft. Robin Moffatt

    Publisert: 12.6.2019
  11. Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

    Publisert: 3.6.2019
  12. Why is Stream Processing Hard? ft. Michael Drogalis

    Publisert: 29.5.2019
  13. Testing Kafka Streams Applications with Viktor Gamov

    Publisert: 20.5.2019
  14. Chris Riccomini on the History of Apache Kafka and Stream Processing

    Publisert: 16.5.2019
  15. Ask Confluent #13: Machine Learning with Kai Waehner

    Publisert: 8.5.2019
  16. Diving into Exactly Once Semantics with Guozhang Wang

    Publisert: 22.4.2019
  17. Ask Confluent #12: In Search of the Lost Offsets

    Publisert: 17.4.2019
  18. Ben Stopford on Microservices and Event Streaming

    Publisert: 8.4.2019
  19. Magnus Edenhill on librdkafka 1.0

    Publisert: 3.4.2019
  20. Ask Confluent #11: More Services, More Metrics, More Fun

    Publisert: 26.3.2019

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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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