Data sharing enables internal collaboration within business units and across organizations. It also supports collaboration externally with customers, vendors, suppliers, and other business partners. Traditional data sharing options have often involved FTP transfers, API calls, sending or receiving CSV files, and ETL tools and processes. Building the infrastructure needed for traditional data sharing methods can be expensive and time-consuming. Transferring data copies and storing duplicate data is also expensive and fraught with difficulties. Identifying a single source of truth is often impossible. With Snowflake’s Securing Data Sharing technology, many of these challenges can be easily addressed. Secure Data Sharing gives access to real-time data and business logic, along with the data that can be shared easily.
There exists four different approaches to sharing data securely with Snowflake.

Direct Share

Data Exchange

Global Data Marketplace

Data Clean Room
The most basic Snowflake Secure Data Sharing approach is via a direct share. Where you share your data directly with another account and your data appears in their Snowflake account, where they can combine your data with theirs for valuable insights. Direct shares are secure and efficient, and you have the ability to revoke access at any time.
If you want to make secure data sharing even more automated and accessible, you can create your Snowflake private Data Exchange. As the creator of the Snowflake private Data Exchange, you’ll control who can join the Data Exchange and which members can provide data, consume data, or both.
Further, a private Data Exchange can be created to use as a data clean room where two or more parties can share data in a privacy-protected way. This allows companies to establish guidelines so that personally identifiable information (PII) is anonymized, processed, and stored in a compliant way. Secure functions and joins, can be used to establish individual links to people, devices, or cookies without needing to exchange or make visible.
Lastly, if you are in search of information provided by third parties or you want to monetize your data, the Snowflake global data marketplace is an excellent option. Snowflake’s data marketplace connects global providers of data with consumers throughout the world. Snowflake isn’t a party to the transaction between a data provider and a data consumer, and there is no cost for the act of sharing your data on the Snowflake Data Cloud. Snowflake enables Secure Data Sharing on its platform and earns revenue through computing when data consumers use a virtual warehouse to query the data.
Having enough data as well as having the right kind of data, often requires us to combine external or third-party data with our own data. Snowflake’s many Secure Data Sharing approaches give us several options from which to choose.
Contact us today at info@springml.com if you’d like to learn more about how we can help you implement any of these Secure Data Sharing approaches in your organization.