Open-Source Spotlight - Quix Streams - Tomas Neubauer
Quix Streams: a cloud-native library for processing data in Kafka using pure Python. It’s designed to give you the power of a distributed system in a lightweight library by combining the low-level scalability and resiliency features of Kafka and Kubernetes in a highly abstracted and easy to use Python interface.
00:00 Intro to open source library QuixStreams
00:50 Demo use case description
01:49 DEMO - Workspace introduction + connecting data
03:14 DEMO - Empty transformation template
04:00 DEMO - Python code connected to data
07:00 DEMO - Stateless operation example
09:26 DEMO - Stateful operation example
11:23 DEMO - Plugging ML model
13:57 DEMO - Consuming ML model output in end product
15:14 Q&A
Links:
LinkedIn: / tom%c3%a1%c5%a1-neubauer-a10bb144
GitHub repo: https://github.com/quixio/quix-streams
To install Quix Streams & try it out: https://github.com/quixio/quix-streams
For contributing guidelines, refer to: https://github.com/quixio/quix-stream...
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If you're interested in contributing to open-source connectors, check out: https://github.com/quixio/quix-samples
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