Data Catalog System for Secure Remote Access Without Copying
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Solution Overview
Problem
Managing data in remote computing environments is complex and costly, requiring specialized knowledge for updating and accessing data, especially when dealing with multiple data sources and functionalities, and there is a need for efficient, robust, user-friendly, and cost-effective solutions for data management and access control.
Innovation Solution
A data catalog system that populates metadata by harvesting data sources, applying masking parameters for secure access, and using a combination of reversible and dynamic masking parameters to manage access without copying data, enabling efficient and secure data management and access in remote computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is stored in remote computing environments with universal access, then data accessibility is improved, but data security and access control complexity increase
Solution Approach 1:
A data catalog system acts as an intermediary layer between users and remote computing environment data. The system harvests metadata from data sources, applies masking parameters, and provides controlled access without requiring users to directly manage the complex remote environment, thus maintaining accessibility while reducing access control complexity
Solution Approach 2:
The system creates virtual copies of data through metadata harvesting and masking, allowing users to access and analyze data representations without direct access to the original sensitive data in the remote environment, thereby maintaining security while enabling universal access
2Manufacturing precision
If specialized knowledge is required to manage remote computing services, then data management accuracy is improved, but operational complexity and cost increase
Solution Approach 1:
The data catalog system automatically harvests metadata from data sources, applies appropriate masking parameters, and manages access controls without requiring manual intervention or specialized knowledge. The system self-configures and adapts to changing data sources, reducing operational complexity while maintaining management accuracy
Solution Approach 2:
The system provides universal data management capabilities that work across multiple data sources and remote computing environments without requiring specialized knowledge for each specific case. The masking framework and metadata harvesting approach are general-purpose solutions that adapt to various data types and sources
3Adaptability or versatility
If multiple data sources are managed with multiple functionalities, then system versatility is improved, but management complexity and cost increase
Solution Approach 1:
The data catalog system provides a universal framework that handles multiple data sources and various functionalities through a single cohesive approach. The metadata harvesting and masking parameter application work consistently across different data types and access requirements, enabling versatile data management without proportional increases in complexity
Solution Approach 2:
The system manages versatility through parameter changes rather than structural complexity. By dynamically adjusting masking parameters and metadata configurations based on data source characteristics and access requirements, the system adapts to multiple functionalities while maintaining consistent management procedures
Data Source
AI summary
A method, device and memory for providing access to remotely stored data is provided. The method includes providing an interface capable of communicating with a remote computing environment storing a plurality of data sets. The method includes receiving a request, via the interface, to access at data sets according to access parameters. The method includes applying a first set of masking parameters when the data sets are accessed via respective views. The method includes satisfying the request by granting access to the views associated with the data sets, without copying the data sets. The views enable data from the data sets to be viewed as masked according to the first set of masking parameters, and the views are masked according to a second set of masking parameters associated with the access parameters.