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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Towards Successful Apache Kafka Implementations ft. Jakub Korab
Udgivet: 26.2.2020 -
Knative 101: Kubernetes and Serverless Explained with Jacques Chester
Udgivet: 19.2.2020 -
Paving a Data Highway with Kafka Connect ft. Liz Bennett
Udgivet: 12.2.2020 -
Distributed Systems Engineering with Apache Kafka ft. Jun Rao
Udgivet: 5.2.2020 -
How to Write a Successful Conference Abstract | Streaming Audio Special
Udgivet: 4.2.2020 -
Streaming Call of Duty at Activision with Apache Kafka ft. Yaroslav Tkachenko
Udgivet: 27.1.2020 -
Confluent Platform 5.4 | What's New in This Release + Updates
Udgivet: 22.1.2020 -
Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar
Udgivet: 13.1.2020 -
Location Data and Geofencing with Apache Kafka ft. Guido Schmutz
Udgivet: 8.1.2020 -
Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote
Udgivet: 30.12.2019 -
Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi
Udgivet: 23.12.2019 -
Apache Kafka 2.4 – Overview of Latest Features, Updates, and KIPs
Udgivet: 16.12.2019 -
Cloud-Native Patterns with Cornelia Davis
Udgivet: 16.12.2019 -
Ask Confluent #16: ksqlDB Edition
Udgivet: 12.12.2019 -
Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner
Udgivet: 4.12.2019 -
Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood
Udgivet: 27.11.2019 -
Announcing ksqlDB ft. Jay Kreps
Udgivet: 20.11.2019 -
Installing Apache Kafka with Ansible ft. Viktor Gamov and Justin Manchester
Udgivet: 18.11.2019 -
Securing the Cloud with VPC Peering ft. Daniel LaMotte
Udgivet: 13.11.2019 -
ETL and Event Streaming Explained ft. Stewart Bryson
Udgivet: 6.11.2019
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.