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