Are your data science workflows encountering unexpected issues, causing pipelines to fail? We have good news for you: Prefect makes it easy to write safe code and make your workflows fault-tolerant.
In this talk, we’ll walk through:
- Positive and negative engineering and how it affects our machine learning/data science pipeline
- Prefect basics to handle situations where an error in your code causes the pipeline to fail
- How a few changes to your existing code can improve the behavior of your workflows
- Demo on deploying the prefect flows to run continuously on the data science platform, Saturn Cloud
After this talk, you’ll be empowered to run safer code on stronger pipelines. We look forward to seeing you there!