# Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

> Quelle: AWS Machine Learning — https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-3-visualizing-insights-with-amazon-quick-sight/

## Maßnahmen

- [ ] Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
- [ ] Originalquelle / Hersteller-Advisory lesen: https://aws.amazon.com/blogs/machine-learning/build-a-no-code-ml-workflow-with-snowflake-amazon-sagemaker-canvas-and-amazon-quick-part-3-visualizing-insights-with-amazon-quick-sight/
- [ ] Verfügbaren Patch oder Workaround einspielen und dokumentieren.
