Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
A podcast by Confluent
270 Episodio
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Real-Time Machine Learning and Smarter AI with Data Streaming
Pubblicato: 05/01/2023 -
The Present and Future of Stream Processing
Pubblicato: 28/12/2022 -
Top 6 Worst Apache Kafka JIRA Bugs
Pubblicato: 21/12/2022 -
Learn How Stream-Processing Works The Simplest Way Possible
Pubblicato: 20/12/2022 -
Building and Designing Events and Event Streams with Apache Kafka
Pubblicato: 15/12/2022 -
Rethinking Apache Kafka Security and Account Management
Pubblicato: 08/12/2022 -
Real-time Threat Detection Using Machine Learning and Apache Kafka
Pubblicato: 29/11/2022 -
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Pubblicato: 22/11/2022 -
Decoupling with Event-Driven Architecture
Pubblicato: 15/11/2022 -
If Streaming Is the Answer, Why Are We Still Doing Batch?
Pubblicato: 09/11/2022 -
Security for Real-Time Data Stream Processing with Confluent Cloud
Pubblicato: 03/11/2022 -
Running Apache Kafka in Production
Pubblicato: 27/10/2022 -
Build a Real Time AI Data Platform with Apache Kafka
Pubblicato: 20/10/2022 -
Optimizing Apache JVMs for Apache Kafka
Pubblicato: 13/10/2022 -
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
Pubblicato: 03/10/2022 -
Application Data Streaming with Apache Kafka and Swim
Pubblicato: 03/10/2022 -
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
Pubblicato: 30/09/2022 -
How to Build a Reactive Event Streaming App - Coding in Motion
Pubblicato: 20/09/2022 -
Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka
Pubblicato: 15/09/2022 -
Reddit Sentiment Analysis with Apache Kafka-Based Microservices
Pubblicato: 08/09/2022
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.
