This guide will help you set up the Snowflake connector to begin ingesting metadata into DataHub.
Upon completing this guide, you will have a recurring ingestion pipeline that will extract metadata from Snowflake and load it into DataHub. This will include to following Snowflake asset types:
- **Usage statistics** to help you understand recent query activity (available if using Snowflake Enterprise edition or above)
- **Table- and Column-level lineage** to automatically define interdependencies between datasets and columns (available if using Snowflake Enterprise edition or above)
- **Table-level profile statistics** to help you understand the shape of the data
By default, DataHub only profiles datasets that have changed in the past 1 day. This can be changed in the YAML editor by setting the value of `profile_if_updated_since_days` to something greater than 1.
Additionally, DataHub only extracts usage and lineage information based on operations performed in the last 1 day. This can be changed by setting a custom value for `start_time` and `end_time` in the YAML editor.
_To learn more about setting these advanced values, check out the [Snowflake Ingestion Source](https://docs.datahub.com/docs/generated/ingestion/sources/snowflake/#module-snowflake)._