270 Episoade

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

    Publicat: 05.01.2023

  2. The Present and Future of Stream Processing

    Publicat: 28.12.2022

  3. Top 6 Worst Apache Kafka JIRA Bugs

    Publicat: 21.12.2022

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

    Publicat: 20.12.2022

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

    Publicat: 15.12.2022

  6. Rethinking Apache Kafka Security and Account Management

    Publicat: 08.12.2022

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

    Publicat: 29.11.2022

  8. Improving Apache Kafka Scalability and Elasticity with Tiered Storage

    Publicat: 22.11.2022

  9. Decoupling with Event-Driven Architecture

    Publicat: 15.11.2022

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

    Publicat: 09.11.2022

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

    Publicat: 03.11.2022

  12. Running Apache Kafka in Production

    Publicat: 27.10.2022

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

    Publicat: 20.10.2022

  14. Optimizing Apache JVMs for Apache Kafka

    Publicat: 13.10.2022

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

    Publicat: 03.10.2022

  16. Application Data Streaming with Apache Kafka and Swim

    Publicat: 03.10.2022

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

    Publicat: 30.09.2022

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

    Publicat: 20.09.2022

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

    Publicat: 15.09.2022

  20. Reddit Sentiment Analysis with Apache Kafka-Based Microservices

    Publicat: 08.09.2022

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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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