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