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
Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie
During his time at Twitter, Sam Ritchie (Staff Research Engineer, Google) led the development of Summingbird, a project that helped Twitter ingest and process massive amounts of data. It relieved some key pain points, saving developers at Twitter from doing work twice, as was a natural consequence of the then-current Lambda Architecture. In this episode, Sam dives teaches us some abstract algebra and explains how it has informed his attempts to make stream processing programs easy to write in a more general way.
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