Cloud Data Exchange Platform for Secure Asset Sharing
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Solution Overview
Problem
Current data sharing methods are cumbersome and inefficient, particularly for smaller entities, as they involve slow data transfer methods like FTP or physical media, which are costly and difficult to manage, and do not allow scalable sharing or real-time access to updated data, making it challenging for smaller businesses to access valuable data assets.
Innovation Solution
A data exchange platform, facilitated by cloud computing services like SNOWFLAKE, enables secure and scalable sharing of data assets by creating a centralized hub where data providers can control access and visibility, allowing for seamless data collaboration and governance without copying data, using shares that encapsulate access privileges and metadata for secure data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional data transfer methods like FTP or physical media are used, then data sharing is achieved, but the process becomes slow, costly, and difficult to manage
Solution Approach 1:
The patent introduces a cloud-based data sharing platform as an intermediary between data providers and consumers. This platform eliminates the need for direct P2P data transfer via FTP or physical media, enabling rapid data access through centralized cloud storage while simplifying management through automated access controls and metadata tracking.
Solution Approach 2:
The patent replaces mechanical data transfer methods (FTP protocols, physical media shipping) with electronic cloud-based access mechanisms. Data is no longer physically moved but accessed remotely through standardized API interfaces, dramatically increasing speed and reducing operational complexity.
2Adaptability or versatility
If data is copied for sharing, then access is provided, but scalability and real-time updates become problematic
Solution Approach 1:
The patent uses metadata copying rather than data copying. When data is shared, only access permissions and descriptive metadata are replicated, while the actual data remains as a single master copy in the cloud. This enables instant synchronization of updates across all consumers without duplicating large data sets.
Solution Approach 2:
The cloud-based platform serves multiple functions simultaneously: data storage, access control management, real-time synchronization, and metadata tracking. This multi-functional approach enables scalable sharing to multiple consumers while maintaining real-time update capabilities through a single centralized system.
3Reliability
If data is encrypted for security, then unauthorized access is prevented, but access control and sharing become more complex
Solution Approach 1:
The patent implements automated access control where the system itself manages encryption key distribution and permission verification. Data providers configure access policies once, and the platform automatically handles authentication and authorization for all consumers, eliminating the need for manual security management while maintaining strong encryption protection.
Data Source
AI summary
Provided herein are systems and methods to provide a way to share metrics regarding shared data access and accesses associated with data providers for different data listings of the data exchange. For example, the method may comprise detecting one or more client interactions with a set of data listings of a data exchange, the set of data listings associated with one or data providers. The method may further comprise collecting metrics corresponding to the one or more client interactions. In addition, the method may share metrics relevant to the one or more data providers with the one or more data providers.