Streaming Audio: Apache Kafka® & Real-Time Data

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

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Utdannelse Teknologi

264 Episoder

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

    Publisert: 22.3.2022

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

    Publisert: 15.3.2022

  3. Why Data Mesh? ft. Ben Stopford

    Publisert: 10.3.2022

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

    Publisert: 3.3.2022

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

    Publisert: 24.2.2022

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

    Publisert: 16.2.2022

  7. On to the Next Chapter ft. Tim Berglund

    Publisert: 3.2.2022

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

    Publisert: 1.2.2022

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

    Publisert: 27.1.2022

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

    Publisert: 24.1.2022

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

    Publisert: 20.1.2022

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

    Publisert: 13.1.2022

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

    Publisert: 6.1.2022

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

    Publisert: 28.12.2021

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

    Publisert: 21.12.2021

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

    Publisert: 14.12.2021

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

    Publisert: 7.12.2021

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

    Publisert: 1.12.2021

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

    Publisert: 23.11.2021

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

    Publisert: 16.11.2021

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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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