Data shares enable secure and seamless data sharing between Precisely and your organization's environment. Set up data shares to access shared datasets for data enrichment and quality pipelines. These datasets are updated in near real-time and organized into schemas and tables for easy access.
Data shares provide secure access to shared datasets that you can use in your enrichment and quality pipelines. Precisely establishes secure sharing connections with your Databricks or Snowflake environment, making datasets available as organized schemas and tables.
Subscribed datasets are available as a single share from Precisely. The setup process differs by platform:
View data shares in your workspace:
- Databricks: In Databricks, the Precisely Data team
establishes a secure sharing connection with your organization.
- Subscribed datasets are available in your workspace as a single share from Precisely, organized into schemas and tables.
- Add the share to a database named
PRECISELY_DBfor streamlined access. - Changes to shared tables are automatically reflected in your workspace.
- For detailed instructions, see Read data shared using Databricks-to-Databricks Delta Sharing.
- Snowflake: In Snowflake, the Precisely Data team creates a
secure sharing connection with your account.
- Subscribed datasets appear as a single share from Precisely, structured into schemas and tables.
- Add the share to a database named
PRECISELY_DBto organize the data. - Updates to shared tables are synced automatically in your workspace.
- For more information, see Data Consumers (Snowflake documentation).
Create or subscribe to data shares
To create or subscribe to data shares, contact Precisely Support through the appropriate channel for your platform:
- Databricks: databricks.partnership@precisely.com
- Snowflake: snowflake.partnership@precisely.com
Precisely provisions the subscribed data for your workspace.
Set up a data share for use in pipelines
Ensure that your data share includes all required datasets for enrichment, then configure it for pipeline use:
- Create a database (Snowflake) or catalog (Databricks) from the shared datasets. This action integrates the data share into your workspace for future use.
- Provide a meaningful name for the database or catalog to easily identify it during enrichment steps.
- When running a pipeline, use data shares by specifying the database
or catalog name in the following fields:
- Snowflake: Enrich datasets database
- Databricks: Enrich datasets catalog
Note: These fields are mandatory for Data Quality pipelines involving Enrich or Spatial steps.