Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner
Dec 04, 2019•39 min•Season 1Ep. 71
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more
Episode description
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
- 🎧 Subscribe to Confluent Developer wherever you listen to podcasts.
- ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes.
- 👍 If you enjoyed this, please leave us a rating.
- 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
For the best experience, listen in Metacast app for iOS or Android