Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
En podcast af Confluent
269 Episoder
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The Fix That Secured 1000s of Credit Cards ft. Brian Sletten | Ep. 4
Udgivet: 13.10.2025 -
How Viktor Gamov Stays Curious as Tech Rapidly Evolves | Ep. 3
Udgivet: 6.10.2025 -
How Tim Berglund Found His Calling | Ep. 2
Udgivet: 29.9.2025 -
Building Real-time Systems for Apple, Nike & more ft. Adi Polak | Ep. 1
Udgivet: 22.9.2025 -
We're back! Welcome to the Confluent Developer Podcast.
Udgivet: 2.9.2025 -
Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
Udgivet: 15.6.2023 -
A Special Announcement from Streaming Audio
Udgivet: 13.4.2023 -
How to use Data Contracts for Long-Term Schema Management
Udgivet: 21.3.2023 -
How to use Python with Apache Kafka
Udgivet: 14.3.2023 -
Next-Gen Data Modeling, Integrity, and Governance with YODA
Udgivet: 7.3.2023 -
Migrate Your Kafka Cluster with Minimal Downtime
Udgivet: 1.3.2023 -
Real-Time Data Transformation and Analytics with dbt Labs
Udgivet: 22.2.2023 -
What is the Future of Streaming Data?
Udgivet: 15.2.2023 -
What can Apache Kafka Developers learn from Online Gaming?
Udgivet: 8.2.2023 -
Apache Kafka 3.4 - New Features & Improvements
Udgivet: 7.2.2023 -
How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
Udgivet: 1.2.2023 -
What is Data Democratization and Why is it Important?
Udgivet: 26.1.2023 -
Git for Data: Managing Data like Code with lakeFS
Udgivet: 19.1.2023 -
Using Kafka-Leader-Election to Improve Scalability and Performance
Udgivet: 12.1.2023 -
Real-Time Machine Learning and Smarter AI with Data Streaming
Udgivet: 5.1.2023
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.
