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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Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole
Udgivet: 22.3.2022 -
Handling 2 Million Apache Kafka Messages Per Second at Honeycomb
Udgivet: 15.3.2022 -
Why Data Mesh? ft. Ben Stopford
Udgivet: 10.3.2022 -
Serverless Stream Processing with Apache Kafka ft. Bill Bejeck
Udgivet: 3.3.2022 -
The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps
Udgivet: 24.2.2022 -
What’s Next for the Streaming Audio Podcast ft. Kris Jenkins
Udgivet: 16.2.2022 -
On to the Next Chapter ft. Tim Berglund
Udgivet: 3.2.2022 -
Intro to Event Sourcing with Apache Kafka ft. Anna McDonald
Udgivet: 1.2.2022 -
Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela
Udgivet: 27.1.2022 -
Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs
Udgivet: 24.1.2022 -
Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra
Udgivet: 20.1.2022 -
From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine
Udgivet: 13.1.2022 -
Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik
Udgivet: 6.1.2022 -
Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris
Udgivet: 28.12.2021 -
Running Hundreds of Stream Processing Applications with Apache Kafka at Wise
Udgivet: 21.12.2021 -
Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan
Udgivet: 14.12.2021 -
Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira
Udgivet: 7.12.2021 -
ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury
Udgivet: 1.12.2021 -
Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger
Udgivet: 23.11.2021 -
Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell
Udgivet: 16.11.2021
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.
