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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Confluent Platform 5.3 | What's New in This Release
Udgivet: 31.7.2019 -
How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj
Udgivet: 29.7.2019 -
Ask Confluent #14: In Control of Kafka with Dan Norwood
Udgivet: 22.7.2019 -
Kafka in Action with Dylan Scott
Udgivet: 15.7.2019 -
Change Data Capture with Debezium ft. Gunnar Morling
Udgivet: 10.7.2019 -
Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson
Udgivet: 2.7.2019 -
Apache Kafka 2.3 | What's New in This Release + Updates and KIPs
Udgivet: 25.6.2019 -
Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira
Udgivet: 25.6.2019 -
Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson
Udgivet: 18.6.2019 -
Why Kafka Connect? ft. Robin Moffatt
Udgivet: 12.6.2019 -
Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar
Udgivet: 3.6.2019 -
Why is Stream Processing Hard? ft. Michael Drogalis
Udgivet: 29.5.2019 -
Testing Kafka Streams Applications with Viktor Gamov
Udgivet: 20.5.2019 -
Chris Riccomini on the History of Apache Kafka and Stream Processing
Udgivet: 16.5.2019 -
Ask Confluent #13: Machine Learning with Kai Waehner
Udgivet: 8.5.2019 -
Diving into Exactly Once Semantics with Guozhang Wang
Udgivet: 22.4.2019 -
Ask Confluent #12: In Search of the Lost Offsets
Udgivet: 17.4.2019 -
Ben Stopford on Microservices and Event Streaming
Udgivet: 8.4.2019 -
Magnus Edenhill on librdkafka 1.0
Udgivet: 3.4.2019 -
Ask Confluent #11: More Services, More Metrics, More Fun
Udgivet: 26.3.2019
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.