Streaming Audio: Apache Kafka® & Real-Time Data
En podcast af Confluent, founded by the original creators of Apache Kafka®
Kategorier:
264 Episoder
-
Confluent Platform 7.0: New Features + Updates
Udgivet: 9.11.2021 -
Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck
Udgivet: 4.11.2021 -
Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang
Udgivet: 26.10.2021 -
Getting Started with Spring for Apache Kafka ft. Viktor Gamov
Udgivet: 19.10.2021 -
Powering Event-Driven Architectures on Microsoft Azure with Confluent
Udgivet: 14.10.2021 -
Automating DevOps for Apache Kafka and Confluent ft. Pere Urbón-Bayes
Udgivet: 7.10.2021 -
Intro to Kafka Connect: Core Components and Architecture ft. Robin Moffatt
Udgivet: 28.9.2021 -
Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi
Udgivet: 23.9.2021 -
Apache Kafka 3.0 - Improving KRaft and an Overview of New Features
Udgivet: 21.9.2021 -
How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray
Udgivet: 14.9.2021 -
What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani
Udgivet: 9.9.2021 -
Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia
Udgivet: 31.8.2021 -
Using Apache Kafka and ksqlDB for Data Replication at Bolt
Udgivet: 26.8.2021 -
Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank
Udgivet: 19.8.2021 -
Advanced Stream Processing with ksqlDB ft. Michael Drogalis
Udgivet: 11.8.2021 -
Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour
Udgivet: 5.8.2021 -
Collecting Data with a Custom SIEM System Built on Apache Kafka and Kafka Connect ft. Vitalii Rudenskyi
Udgivet: 27.7.2021 -
Consistent, Complete Distributed Stream Processing ft. Guozhang Wang
Udgivet: 22.7.2021 -
Powering Real-Time Analytics with Apache Kafka and Rockset
Udgivet: 15.7.2021 -
Automated Event-Driven Architectures and Microservices with Apache Kafka and SmartBear
Udgivet: 8.7.2021
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.
