Open-Source Spotlight - Mage - Tommy Dang

Mage: an open-source notebook for building & deploying data pipelines.
00:00 Intro and a few words about Tommy
00:20 Mage
00:37 Demo: Open-source notebook for building and deploying data pipelines
02:40 Demo: Type of blocks (cells)
03:05 Demo: Data loader
03:53 Demo: Charts
05:31 Demo: Transformer
07:59 Demo: Execute pipeline
09:08 Demo: Did it work?
10:27 What's under the hood?
10:50 Kernels: Python, PySpark
11:16 Committing code in GitHub
11:50 How to install and launch
12:52 How many people worked on this?
13:39 How can somebody contribute?
15:07 Any advice?
Links:
- Github repo: github.com/mage-ai/mage-ai
- Documentation: github.com/mage-ai/mage-ai
- Slack community: mage.ai/chat
- Twitter: / mage_ai
ML Zoomcamp: github.com/alexeygrigorev/mlb...
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[@michaelkonstantinovsky2184]

Great video! Thanks a lot!!!

[@khandoor7228]

Fantastic

[@dragon3602010]

Awesome and how it's handling errors?

[@bmoore813]

I would never use this. Kind of a silly tool imo

[@wexwexexort]

Silly? In terms of what?