Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Een podcast door Confluent
270 Afleveringen
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Building Parquet into Apache Pinot ft. Neha Pawar | Ep. 5
Gepubliceerd: 20-10-2025 -
The Fix That Secured 1000s of Credit Cards ft. Brian Sletten | Ep. 4
Gepubliceerd: 13-10-2025 -
How Viktor Gamov Stays Curious as Tech Rapidly Evolves | Ep. 3
Gepubliceerd: 6-10-2025 -
How Tim Berglund Found His Calling | Ep. 2
Gepubliceerd: 29-9-2025 -
Building Real-time Systems for Apple, Nike & more ft. Adi Polak | Ep. 1
Gepubliceerd: 22-9-2025 -
We're back! Welcome to the Confluent Developer Podcast.
Gepubliceerd: 2-9-2025 -
Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates
Gepubliceerd: 15-6-2023 -
A Special Announcement from Streaming Audio
Gepubliceerd: 13-4-2023 -
How to use Data Contracts for Long-Term Schema Management
Gepubliceerd: 21-3-2023 -
How to use Python with Apache Kafka
Gepubliceerd: 14-3-2023 -
Next-Gen Data Modeling, Integrity, and Governance with YODA
Gepubliceerd: 7-3-2023 -
Migrate Your Kafka Cluster with Minimal Downtime
Gepubliceerd: 1-3-2023 -
Real-Time Data Transformation and Analytics with dbt Labs
Gepubliceerd: 22-2-2023 -
What is the Future of Streaming Data?
Gepubliceerd: 15-2-2023 -
What can Apache Kafka Developers learn from Online Gaming?
Gepubliceerd: 8-2-2023 -
Apache Kafka 3.4 - New Features & Improvements
Gepubliceerd: 7-2-2023 -
How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems
Gepubliceerd: 1-2-2023 -
What is Data Democratization and Why is it Important?
Gepubliceerd: 26-1-2023 -
Git for Data: Managing Data like Code with lakeFS
Gepubliceerd: 19-1-2023 -
Using Kafka-Leader-Election to Improve Scalability and Performance
Gepubliceerd: 12-1-2023
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.
