Streaming Audio: Apache Kafka® & Real-Time Data
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.
Streaming Audio: Apache Kafka® & Real-Time Data
Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart
Applications, development, deployment, and theory are all key pieces behind customer experience, event streaming, and improving systems and integration.
James Urquhart (Global Field CTO, VMware) is writing a book combining Wardley Mapping and Promise Theory to evaluate the future of event streaming and how it will become a more economic choice for users. James argues that reducing the cost of integration does not deter people from buying but instead encourages creativity to find more uses for integration. He stresses the importance of user experience and how knowing what users are going through helps mend products and workflows, which improves systems that bring economic value. The two then go into explanations around the Promise Theory, Jevons Paradox, and Geoffrey Moore's Core vs. Context Theory.
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