The Stream — February 2023 edition
Build a simple event-driven system to get ML predictions with Python and Apache Kafka
Build a simple event-driven system to get ML predictions with Python and Apache Kafka
Our CTO Tomas Neubauer has put together a tutorial for you to learn how to continuously stream email records from a CSV file, get an ML inference for each record, and then stream the results back to a new Kafka topic.
Kafka Summit agenda now public
The Apache Kafka and data streaming community will converge in London for another Kafka Summit. The line-up this year looks excellent. There will also be a pre-conference Hackathon to look forward to. Our CTO Tomas Neubauer will also be on stage on the second day to talk about a case study in cyclist crash detection. Hope to see you there!
More news and insights
- Stream Processing vs Real-time OLAP vs Streaming Database - Read more
- The MAD (Machine Learning / AI / Data) Landscape. Quix has been included. Take a look
- David Heinemeier Hansson reckons 37Signals will save $7mil in cloud costs by moving off the cloud (Clexit™️) - Read more
Meme of the Month
Our SRE Lajos Nagy on our recent team trip to the Czech mountains 😆
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Check out the repo
Our Python client library is open source, and brings DataFrames and the Python ecosystem to stream processing.
Mike Rosam is Co-Founder and CEO at Quix, where he works at the intersection of business and technology to pioneer the world's first streaming data development platform. He was previously Head of Innovation at McLaren Applied, where he led the data analytics product line. Mike has a degree in Mechanical Engineering and an MBA from Imperial College London.
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