Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Tim Baldridge joins us on Streaming Audio to talk about event streaming, stream processing use cases, and µKanren.
Matt Simpson shares about how Kafka has helped Boden digitize their business, transitioning from catalogs to online sales, tracking stock, and identifying buying patterns. Matt also shares about what he's learned through using Kafka as well as the challenges of being a product master. And lastly, what is Matt excited for for the future of Boden? Find out in this episode!
One way to put Apache Kafka into action is geofencing and tracking the location data of objects, barges, and cars in real time. Guido Schmutz shares about one such use case involving a German steel company and the development project he worked on for them.
Payments leverages Confluent Cloud to help banks of all sizes transform to real-time banking services from traditionally batch-oriented, bankers’ hours operational mode. This is achieved through Apache Kafka® and the Kafka Streams and Kafka Connect APIs from Clojure using functional programming paradigms like transducers.
Tim Berglund sits down with Ramesh Sringeri to discuss two Kafka use cases that Children's Healthcare of Atlanta is working on: achieving near-real-time streams of data to support meaningful intracranial pressure prediction and better manage intracranial pressure, and testing machine learning models with KSQL, Kafka Streams, and Kafka.
Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.
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