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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From Monolith to Microservices with Sam Newman
Udgivet: 17.6.2020 -
Exploring Event Streaming Use Cases with µKanren ft. Tim Baldridge
Udgivet: 8.6.2020 -
Introducing JSON and Protobuf Support ft. David Araujo and Tushar Thole
Udgivet: 1.6.2020 -
Scaling Apache Kafka in Retail with Microservices ft. Matt Simpson from Boden
Udgivet: 27.5.2020 -
Connecting Snowflake and Apache Kafka ft. Isaac Kunen
Udgivet: 20.5.2020 -
AMA with Tim Berglund | Streaming Audio Special
Udgivet: 18.5.2020 -
Kubernetes Meets Apache Kafka ft. Kelsey Hightower
Udgivet: 13.5.2020 -
Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll
Udgivet: 4.5.2020 -
IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner
Udgivet: 29.4.2020 -
Confluent Platform 5.5 | What's New in This Release + Updates
Udgivet: 24.4.2020 -
Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie
Udgivet: 22.4.2020 -
Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs
Udgivet: 16.4.2020 -
Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart
Udgivet: 15.4.2020 -
How to Run Kafka Streams on Kubernetes ft. Viktor Gamov
Udgivet: 6.4.2020 -
Cloud Marketplace Considerations with Dan Rosanova
Udgivet: 30.3.2020 -
Explore, Expand, and Extract with 3X Thinking ft. Kent Beck
Udgivet: 25.3.2020 -
Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund
Udgivet: 24.3.2020 -
Domain-Driven Design and Apache Kafka with Paul Rayner
Udgivet: 18.3.2020 -
Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann
Udgivet: 11.3.2020 -
Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira
Udgivet: 4.3.2020
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.