Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
En podcast af Confluent
269 Episoder
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Streaming Real-Time Sporting Analytics for World Table Tennis
Udgivet: 25.8.2022 -
Real-Time Event Distribution with Data Mesh
Udgivet: 18.8.2022 -
Apache Kafka Security Best Practices
Udgivet: 11.8.2022 -
What Could Go Wrong with a Kafka JDBC Connector?
Udgivet: 4.8.2022 -
Apache Kafka Networking with Confluent Cloud
Udgivet: 28.7.2022 -
Event-Driven Systems and Agile Operations
Udgivet: 21.7.2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Udgivet: 14.7.2022 -
Blockchain Data Integration with Apache Kafka
Udgivet: 7.7.2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Udgivet: 30.6.2022 -
Common Apache Kafka Mistakes to Avoid
Udgivet: 23.6.2022 -
Tips For Writing Abstracts and Speaking at Conferences
Udgivet: 16.6.2022 -
How I Became a Developer Advocate
Udgivet: 9.6.2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Udgivet: 2.6.2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Udgivet: 26.5.2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Udgivet: 19.5.2022 -
Apache Kafka 3.2 - New Features & Improvements
Udgivet: 17.5.2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Udgivet: 11.5.2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Udgivet: 5.5.2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Udgivet: 3.5.2022 -
Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
Udgivet: 28.4.2022
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.
