Quix Academy | Ep 3 | Stateful Data Transformation Use Case: Downsampling

🧑‍🏫 This third episode in the course expands on stateful transformations from the last episode with an industrial use case: downsampling. You’ll learn about time series data, the challenges when dealing with high velocity data and why downsampling is often required. You’ll be introduced to InfluxDB (a time series database) and work through solving common challenges in a coding session.

Prerequisites:
📺 Watch Episode 2 https://www.youtube.com/live/61xradVrKwQ
☁️ Sign up for a free trial of InfluxDB Cloud Serverless (if you want to follow along)
🐍 Python 3.8+
🐳 Docker
✍️ IDE (VS Code, PyCharm or GitHub Codespaces)
⭐️ Star the repo to follow/support the project https://github.com/quixio/quix-streams

What you’ll learn:
📖 Theory
• High velocity data ingestion
• Time series data and databases
• Downsampling with an industrial use case
💻 Coding Session
• Downsampling using stateful operations

Resources:
📚 Docs
• Quix InfluxDB integrations https://quix.io/docs/integrations/dat...
• Predictive maintenance, Downsampling https://quix.io/docs/tutorials/predic...
• Use Quix Streams to downsample data https://docs.influxdata.com/influxdb/...
📝 Blog Posts
• Predict 3D printer failures in real-time using sensor data https://quix.io/blog/build-deploy-pre...