https://github.com/d-one/gtc-databricks-streaming-predictions

Repo will be used in the GTC-2024 conference. It includes code and instructions to create a medallion architecture pipeline using Delta Live Tables feature of Databricks. Also, it encapsulates how to train an ML model for streaming predictions and how to keep track for data drift.
https://github.com/d-one/gtc-databricks-streaming-predictions

Last synced: about 1 month ago
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Repo will be used in the GTC-2024 conference. It includes code and instructions to create a medallion architecture pipeline using Delta Live Tables feature of Databricks. Also, it encapsulates how to train an ML model for streaming predictions and how to keep track for data drift.

• Host: GitHub
• URL: https://github.com/d-one/gtc-databricks-streaming-predictions
• Owner: d-one
• License: mit
• Created: 2024-08-05T07:46:49.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-11-11T10:15:34.000Z (about 1 month ago)
• Last Synced: 2024-11-11T11:25:41.547Z (about 1 month ago)
• Language: Python
• Size: 55.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# gtc-databricks-streaming-predictions