Streaming Audio: Apache Kafka® & Real-Time Data

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

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Kategorier:

Utdannelse Teknologi

264 Episoder

  1. Real-time Threat Detection Using Machine Learning and Apache Kafka

    Publisert: 29.11.2022

  2. Improving Apache Kafka Scalability and Elasticity with Tiered Storage

    Publisert: 22.11.2022

  3. Decoupling with Event-Driven Architecture

    Publisert: 15.11.2022

  4. If Streaming Is the Answer, Why Are We Still Doing Batch?

    Publisert: 9.11.2022

  5. Security for Real-Time Data Stream Processing with Confluent Cloud

    Publisert: 3.11.2022

  6. Running Apache Kafka in Production

    Publisert: 27.10.2022

  7. Build a Real Time AI Data Platform with Apache Kafka

    Publisert: 20.10.2022

  8. Optimizing Apache JVMs for Apache Kafka

    Publisert: 13.10.2022

  9. Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

    Publisert: 3.10.2022

  10. Application Data Streaming with Apache Kafka and Swim

    Publisert: 3.10.2022

  11. International Podcast Day - Apache Kafka Edition | Streaming Audio Special

    Publisert: 30.9.2022

  12. How to Build a Reactive Event Streaming App - Coding in Motion

    Publisert: 20.9.2022

  13. Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

    Publisert: 15.9.2022

  14. Reddit Sentiment Analysis with Apache Kafka-Based Microservices

    Publisert: 8.9.2022

  15. Capacity Planning Your Apache Kafka Cluster

    Publisert: 30.8.2022

  16. Streaming Real-Time Sporting Analytics for World Table Tennis

    Publisert: 25.8.2022

  17. Real-Time Event Distribution with Data Mesh

    Publisert: 18.8.2022

  18. Apache Kafka Security Best Practices

    Publisert: 11.8.2022

  19. What Could Go Wrong with a Kafka JDBC Connector?

    Publisert: 4.8.2022

  20. Apache Kafka Networking with Confluent Cloud

    Publisert: 28.7.2022

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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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