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. Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates

    Publisert: 15.6.2023

  2. A Special Announcement from Streaming Audio

    Publisert: 13.4.2023

  3. How to use Data Contracts for Long-Term Schema Management

    Publisert: 21.3.2023

  4. How to use Python with Apache Kafka

    Publisert: 14.3.2023

  5. Next-Gen Data Modeling, Integrity, and Governance with YODA

    Publisert: 7.3.2023

  6. Migrate Your Kafka Cluster with Minimal Downtime

    Publisert: 1.3.2023

  7. Real-Time Data Transformation and Analytics with dbt Labs

    Publisert: 22.2.2023

  8. What is the Future of Streaming Data?

    Publisert: 15.2.2023

  9. What can Apache Kafka Developers learn from Online Gaming?

    Publisert: 8.2.2023

  10. Apache Kafka 3.4 - New Features & Improvements

    Publisert: 7.2.2023

  11. How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

    Publisert: 1.2.2023

  12. What is Data Democratization and Why is it Important?

    Publisert: 26.1.2023

  13. Git for Data: Managing Data like Code with lakeFS

    Publisert: 19.1.2023

  14. Using Kafka-Leader-Election to Improve Scalability and Performance

    Publisert: 12.1.2023

  15. Real-Time Machine Learning and Smarter AI with Data Streaming

    Publisert: 5.1.2023

  16. The Present and Future of Stream Processing

    Publisert: 28.12.2022

  17. Top 6 Worst Apache Kafka JIRA Bugs

    Publisert: 21.12.2022

  18. Learn How Stream-Processing Works The Simplest Way Possible

    Publisert: 20.12.2022

  19. Building and Designing Events and Event Streams with Apache Kafka

    Publisert: 15.12.2022

  20. Rethinking Apache Kafka Security and Account Management

    Publisert: 8.12.2022

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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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