About data shares

Data Integrity Suite
Product
Spatial_Analytics
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2025

Data shares enable secure and seamless data sharing between Precisely and your organization's environment. They provide access to shared datasets that can be used for data enrichment and quality pipelines. These datasets are updated in near real-time and organized into schemas and tables for easy access. Manage and utilize data shares in the Data Integrity Suite to enhance your data enrichment workflows.

View data shares

  1. 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_DB for 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.

  2. 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_DB to organize the data.
    • Updates to shared tables are synced automatically in your workspace.
    • For more information, see Data Consumers.

Create data shares

Create or subscribe to data shares: Contact Precisely Support and reach out to the appropriate support channel based on your platform:

Precisely provisions the subscribed data for your workspace.

Setting up a data share: Ensure that your data share includes all required datasets for enrichment.

  1. Create a database (Snowflake) or catalog (Databricks) from the shared datasets. This action integrates the data share into your workspace for future use.
  2. Provide a meaningful name for the database or catalog to easily identify it during enrichment steps.
  3. 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.

By securely connecting to Databricks or Snowflake, Precisely enables your organization to access shared datasets for real-time enrichment.