Samples

Some datasets include a 1% data sample, which supports faster exploratory queries for very large tables. Samples can also have fewer access restrictions compared to the full dataset.

Methodology

Sampling is applied independently to each version of a dataset. Samples can either be randomly applied to all tables in the dataset or created on a variable, which is applied to all tables in the dataset that contain that variable.

Usage

You can see whether a sample exists and how it was created in the right bar next to the list of tables. The tables list can also be filtered to see which tables have a sample. If you only have sample access to this dataset you may see a Sample tag next to table names, which means you are looking at the sampled table of data.

When adding a dataset to a workflow, it will default to the sample, if one exists. A dataset can be switched between the sample and the full data at any time.

For editors: How to create a sample