Streaming Audio: Apache Kafka® & Real-Time Data
Ein Podcast von Confluent, founded by the original creators of Apache Kafka®
264 Folgen
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It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden
Vom: 18.3.2019 -
Containerized Apache Kafka On Kubernetes with Viktor Gamov
Vom: 11.3.2019 -
Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt
Vom: 4.3.2019 -
KTable Update Suppression (and a Bunch About KTables) ft. John Roesler
Vom: 27.2.2019 -
Splitting and Routing Events with KSQL ft. Pascal Vantrepote
Vom: 25.2.2019 -
Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis
Vom: 20.2.2019 -
The Future of Serverless and Streaming with Neil Avery
Vom: 14.2.2019 -
Using Terraform and Confluent Cloud with Ricardo Ferreira
Vom: 23.1.2019 -
Ask Confluent #9: With and Without ZooKeeper
Vom: 8.1.2019 -
Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks
Vom: 18.12.2018 -
Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax
Vom: 3.12.2018 -
Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson
Vom: 5.11.2018 -
Kafka Summit SF 2018 Panel | Microsoft, Slack, Confluent, University of Cambridge
Vom: 18.10.2018 -
Kafka Streams in Action with Bill Bejeck
Vom: 27.9.2018 -
Joins in KSQL 5.0 with Hojjat Jafarpour
Vom: 20.9.2018 -
Ask Confluent #5: Kafka, KSQL and Viktor Gamov
Vom: 10.9.2018 -
KSQL Use Cases with Nick Dearden
Vom: 6.9.2018 -
Nested Data in KSQL with Hojjat Jafarpour
Vom: 29.8.2018 -
UDFs and UDAFs in KSQL 5.0 with Hojjat Jafarpour
Vom: 24.8.2018 -
Ask Confluent #4: The GitHub Edition
Vom: 16.8.2018
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.