In this episode, Kai Waehner (Senior Systems Engineer, Confluent) defines machine learning in depth, describes the architecture of his dream machine learning pipeline, shares about its relevance to Apache Kafka®, Kafka Connect, ksqlDB, and the related ecosystem, and discusses the importance of security and fraud detection. He also covers Kafka use cases, including an example of how Kafka Streams and TensorFlow provide predictive analytics for connected cars.

EPISODE LINKS

How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
Learn about Apache Kafka
Learn about Kafka Connect
Learn about ksqlDB, the successor to KSQL
Join the Confluent Community Slack
Fully managed Apache Kafka as a service! Try free.

SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo

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Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner