Streaming Audio: Apache Kafka® & Real-Time Data
En podcast af Confluent, founded by the original creators of Apache Kafka®
Kategorier:
264 Episoder
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Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski
Udgivet: 22.2.2021 -
Integrating Spring Boot with Apache Kafka ft. Viktor Gamov
Udgivet: 17.2.2021 -
Confluent Platform 6.1 | What’s New in This Release + Updates
Udgivet: 10.2.2021 -
Building a Microservices Architecture with Apache Kafka at Nationwide Building Society ft. Rob Jackson
Udgivet: 8.2.2021 -
Examining Apache Kafka Performance Metrics ft. Alok Nikhil
Udgivet: 1.2.2021 -
Distributed Systems Engineering with Apache Kafka ft. Guozhang Wang
Udgivet: 25.1.2021 -
Scaling Developer Productivity with Apache Kafka ft. Mohinish Shaikh
Udgivet: 20.1.2021 -
Change Data Capture and Kafka Connect on Microsoft Azure ft. Abhishek Gupta
Udgivet: 11.1.2021 -
Event Streaming Trends and Predictions for 2021 ft. Gwen Shapira, Ben Stopford, and Michael Noll
Udgivet: 6.1.2021 -
How to Become a Certified Apache Kafka Expert ft. Niamh O’Byrne and Barry Ballard
Udgivet: 28.12.2020 -
Mastering DevOps with Apache Kafka, Kubernetes, and Confluent Cloud ft. Rick Spurgeon and Allison Walther
Udgivet: 22.12.2020 -
Apache Kafka 2.7 - Overview of Latest Features, Updates, and KIPs
Udgivet: 21.12.2020 -
Choreographing the Saga Pattern in Microservices ft. Chris Richardson
Udgivet: 16.12.2020 -
Apache Kafka and Porsche: Fast Cars and Fast Data ft. Sridhar Mamella
Udgivet: 7.12.2020 -
Tales from the Frontline of Apache Kafka DevOps ft. Jason Bell
Udgivet: 2.12.2020 -
Multi-Tenancy in Apache Kafka ft. Anna Pozvner
Udgivet: 23.11.2020 -
Distributed Systems Engineering with Apache Kafka ft. Roger Hoover
Udgivet: 18.11.2020 -
Why Kafka Streams Does Not Use Watermarks ft. Matthias J. Sax
Udgivet: 12.11.2020 -
Distributed Systems Engineering with Apache Kafka ft. Apurva Mehta
Udgivet: 2.11.2020 -
Most Terrifying Apache Kafka JIRAs of 2020 ft. Anna McDonald
Udgivet: 28.10.2020
Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
