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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