270 Episodo

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

    Publicado: 5/1/2023
  2. The Present and Future of Stream Processing

    Publicado: 28/12/2022
  3. Top 6 Worst Apache Kafka JIRA Bugs

    Publicado: 21/12/2022
  4. Learn How Stream-Processing Works The Simplest Way Possible

    Publicado: 20/12/2022
  5. Building and Designing Events and Event Streams with Apache Kafka

    Publicado: 15/12/2022
  6. Rethinking Apache Kafka Security and Account Management

    Publicado: 8/12/2022
  7. Real-time Threat Detection Using Machine Learning and Apache Kafka

    Publicado: 29/11/2022
  8. Improving Apache Kafka Scalability and Elasticity with Tiered Storage

    Publicado: 22/11/2022
  9. Decoupling with Event-Driven Architecture

    Publicado: 15/11/2022
  10. If Streaming Is the Answer, Why Are We Still Doing Batch?

    Publicado: 9/11/2022
  11. Security for Real-Time Data Stream Processing with Confluent Cloud

    Publicado: 3/11/2022
  12. Running Apache Kafka in Production

    Publicado: 27/10/2022
  13. Build a Real Time AI Data Platform with Apache Kafka

    Publicado: 20/10/2022
  14. Optimizing Apache JVMs for Apache Kafka

    Publicado: 13/10/2022
  15. Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

    Publicado: 3/10/2022
  16. Application Data Streaming with Apache Kafka and Swim

    Publicado: 3/10/2022
  17. International Podcast Day - Apache Kafka Edition | Streaming Audio Special

    Publicado: 30/9/2022
  18. How to Build a Reactive Event Streaming App - Coding in Motion

    Publicado: 20/9/2022
  19. Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

    Publicado: 15/9/2022
  20. Reddit Sentiment Analysis with Apache Kafka-Based Microservices

    Publicado: 8/9/2022

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Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their understanding and approach to building systems. Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®,  Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.

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