Trifacta

Change the sample size on a flow/recipe basis to improve UI performance in low memory conditions.

How to edit the Sample size in the Transformer grid

How to track the status of your sampling jobs and cancel jobs if needed

Trifacta allows you to quickly start working with your dataset by taking a quick sample, but sometimes you may need a little more.

New samples can be generated to get more accurately representative distributions of a dataset's values.

When a recipe is created an initial sample is automatically generated at the same time. If needed, you can generate a new one.

As your flows grow more complex, you should be aware of how to manage the sampling of your data.

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