Internal Data Sharing
In a database environment, internal data sharing allows users to share the same data resources between multiple business functions, users, geographies, or applications. To enable data “version control,” software locking mechanisms are used to maintain concurrency and unique permissions levels can be set for different users or groups. Data sharing is one of the primary features of database management systems (DBMS).
Snowflake Data Sharehouse
Many large enterprises leverage data marts to move data between corporate data warehouses and other business units or subsidiaries and reduce duplicative analytics burden. Data marts, however, have many shortcomings – long ETL cycles, data consistency risks, and resource strain.
The Snowflake Data Sharehouse eliminates internal data sharing issues by allowing true, real-time sharing of common data across the wider enterprise for organizations that need to share common, real-time data across a broad range of business units or partners. Leveraging Snowflake’s cloud-based relational database management system (RDBMS), the Data Sharehouse allows organizations to maintain a consistent, single view of data truth across business units, subsidiaries, channels, and geographies.