Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Podcast autorstwa Confluent
270 Odcinki
-
Capacity Planning Your Apache Kafka Cluster
Opublikowany: 30.08.2022 -
Streaming Real-Time Sporting Analytics for World Table Tennis
Opublikowany: 25.08.2022 -
Real-Time Event Distribution with Data Mesh
Opublikowany: 18.08.2022 -
Apache Kafka Security Best Practices
Opublikowany: 11.08.2022 -
What Could Go Wrong with a Kafka JDBC Connector?
Opublikowany: 4.08.2022 -
Apache Kafka Networking with Confluent Cloud
Opublikowany: 28.07.2022 -
Event-Driven Systems and Agile Operations
Opublikowany: 21.07.2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Opublikowany: 14.07.2022 -
Blockchain Data Integration with Apache Kafka
Opublikowany: 7.07.2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Opublikowany: 30.06.2022 -
Common Apache Kafka Mistakes to Avoid
Opublikowany: 23.06.2022 -
Tips For Writing Abstracts and Speaking at Conferences
Opublikowany: 16.06.2022 -
How I Became a Developer Advocate
Opublikowany: 9.06.2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Opublikowany: 2.06.2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Opublikowany: 26.05.2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Opublikowany: 19.05.2022 -
Apache Kafka 3.2 - New Features & Improvements
Opublikowany: 17.05.2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Opublikowany: 11.05.2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Opublikowany: 5.05.2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Opublikowany: 3.05.2022
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.
