Streaming Audio: Apache Kafka® & Real-Time Data
Podcast autorstwa Confluent, founded by the original creators of Apache Kafka®
Kategorie:
264 Odcinki
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It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden
Opublikowany: 18.03.2019 -
Containerized Apache Kafka On Kubernetes with Viktor Gamov
Opublikowany: 11.03.2019 -
Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt
Opublikowany: 4.03.2019 -
KTable Update Suppression (and a Bunch About KTables) ft. John Roesler
Opublikowany: 27.02.2019 -
Splitting and Routing Events with KSQL ft. Pascal Vantrepote
Opublikowany: 25.02.2019 -
Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis
Opublikowany: 20.02.2019 -
The Future of Serverless and Streaming with Neil Avery
Opublikowany: 14.02.2019 -
Using Terraform and Confluent Cloud with Ricardo Ferreira
Opublikowany: 23.01.2019 -
Ask Confluent #9: With and Without ZooKeeper
Opublikowany: 8.01.2019 -
Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks
Opublikowany: 18.12.2018 -
Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax
Opublikowany: 3.12.2018 -
Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson
Opublikowany: 5.11.2018 -
Kafka Summit SF 2018 Panel | Microsoft, Slack, Confluent, University of Cambridge
Opublikowany: 18.10.2018 -
Kafka Streams in Action with Bill Bejeck
Opublikowany: 27.09.2018 -
Joins in KSQL 5.0 with Hojjat Jafarpour
Opublikowany: 20.09.2018 -
Ask Confluent #5: Kafka, KSQL and Viktor Gamov
Opublikowany: 10.09.2018 -
KSQL Use Cases with Nick Dearden
Opublikowany: 6.09.2018 -
Nested Data in KSQL with Hojjat Jafarpour
Opublikowany: 29.08.2018 -
UDFs and UDAFs in KSQL 5.0 with Hojjat Jafarpour
Opublikowany: 24.08.2018 -
Ask Confluent #4: The GitHub Edition
Opublikowany: 16.08.2018
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.