264 Epizód

  1. Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

    Közzétéve: 2022. 03. 22.

  2. Handling 2 Million Apache Kafka Messages Per Second at Honeycomb

    Közzétéve: 2022. 03. 15.

  3. Why Data Mesh? ft. Ben Stopford

    Közzétéve: 2022. 03. 10.

  4. Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

    Közzétéve: 2022. 03. 03.

  5. The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

    Közzétéve: 2022. 02. 24.

  6. What’s Next for the Streaming Audio Podcast ft. Kris Jenkins

    Közzétéve: 2022. 02. 16.

  7. On to the Next Chapter ft. Tim Berglund

    Közzétéve: 2022. 02. 03.

  8. Intro to Event Sourcing with Apache Kafka ft. Anna McDonald

    Közzétéve: 2022. 02. 01.

  9. Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela

    Közzétéve: 2022. 01. 27.

  10. Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs

    Közzétéve: 2022. 01. 24.

  11. Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

    Közzétéve: 2022. 01. 20.

  12. From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine

    Közzétéve: 2022. 01. 13.

  13. Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik

    Közzétéve: 2022. 01. 06.

  14. Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris

    Közzétéve: 2021. 12. 28.

  15. Running Hundreds of Stream Processing Applications with Apache Kafka at Wise

    Közzétéve: 2021. 12. 21.

  16. Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

    Közzétéve: 2021. 12. 14.

  17. Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

    Közzétéve: 2021. 12. 07.

  18. ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

    Közzétéve: 2021. 12. 01.

  19. Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

    Közzétéve: 2021. 11. 23.

  20. Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

    Közzétéve: 2021. 11. 16.

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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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