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