17816420. DATA CLEAN ROOM USING DEFINED ACCESS VIA NATIVE APPLICATIONS simplified abstract (Snowflake Inc.)

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DATA CLEAN ROOM USING DEFINED ACCESS VIA NATIVE APPLICATIONS

Organization Name

Snowflake Inc.

Inventor(s)

Rachel Frances Blum of South Orange NJ (US)

Justin Langseth of Kailua HI (US)

Michael Earle Rainey of Pasco WA (US)

DATA CLEAN ROOM USING DEFINED ACCESS VIA NATIVE APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17816420 titled 'DATA CLEAN ROOM USING DEFINED ACCESS VIA NATIVE APPLICATIONS

Simplified Explanation

The present disclosure describes a data sharing system implemented as a local application of a distributed database. This system allows for the validation and execution of queries against a shared dataset that includes data from the database dataset as well as additional data from another database within the distributed database.

  • The system is implemented as a local application of a distributed database.
  • Queries from a query template are validated and executed against a shared dataset.
  • The shared dataset includes portions of data from the database dataset and additional portions of data from another database within the distributed database.

Potential Applications

  • Collaborative data analysis: Multiple users can access and analyze data from different databases within the distributed database, enabling collaboration and knowledge sharing.
  • Data integration: The system allows for the integration of data from multiple databases, making it easier to combine and analyze information from different sources.
  • Distributed data management: The system provides a way to manage and share data across multiple databases in a distributed environment.

Problems Solved

  • Data silos: The system helps overcome the problem of data being stored in separate databases, making it difficult to access and analyze information from different sources.
  • Data inconsistency: By allowing for the integration of data from multiple databases, the system helps ensure consistency and accuracy of the shared dataset.
  • Collaboration barriers: The system enables collaboration and knowledge sharing by allowing users to access and analyze data from different databases within the distributed database.

Benefits

  • Improved data accessibility: Users can easily access and analyze data from multiple databases within the distributed database, eliminating the need to manually search and combine information from different sources.
  • Enhanced data analysis: The system allows for the integration of data from multiple databases, enabling more comprehensive and insightful analysis.
  • Efficient collaboration: Users can collaborate and share knowledge by accessing and analyzing data from different databases within the distributed database, promoting teamwork and innovation.


Original Abstract Submitted

Embodiments of the present disclosure may provide a data sharing system implemented as a local application of a distributed database. A query from a query template can be validated and executed against shared dataset that comprises portions of data from the database dataset and additional portions of data from another database of the distributed database.

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