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