Filter Query Mechanism for Data Store View Access Control
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Solution Overview
Problem
Current data services solutions, such as data warehouses, face challenges in providing effective access to data sets due to the lack of technical skills among users, insufficient privileges, and the limitations of standardized application-based solutions that restrict fine-tuning data extraction capabilities.
Innovation Solution
A filter query mechanism is implemented within a data store application to manage access to views by receiving and attaching queries to views, extracting their structure, and combining it with the original view to generate a filtered view result, thereby tailoring data access based on user privileges and demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standardized application-based solutions are used to provide data access, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The solution segments data access into two layers: a standardized interface layer that provides ease of operation through pre-defined views, and a customizable query layer that allows adaptability through filter queries. This segmentation enables different users to operate at their appropriate skill level while maintaining system-wide consistency.
Solution Approach 2:
The filter query mechanism acts as an intermediary between the standardized application interface and the underlying data warehouse. It translates user-friendly view requests into customized data extraction operations, bridging the gap between simplicity and flexibility.
2Adaptability or versatility
If manual installation solutions are used for dispersed computing resources, then adaptability is improved, but productivity deteriorates
Solution Approach 1:
The system performs preliminary configuration by pre-defining views that encapsulate complex data extraction logic. This preliminary action eliminates the need for manual installation and configuration at each dispersed computing resource location, as the views can be deployed and applied uniformly across the distributed environment.
Solution Approach 2:
Pre-defined views serve as reusable templates that can be copied and applied across multiple dispersed computing resources. This copying mechanism maintains adaptability through the underlying query flexibility while dramatically improving productivity through standardized deployment.
3Adaptability or versatility
If users directly query data warehouses, then adaptability is improved, but ease of operation deteriorates
Solution Approach 1:
The filter query mechanism serves as an intermediary between end users and the complex data warehouse querying system. It translates simple view-based requests into sophisticated data extraction operations, shielding users from technical complexity while maintaining full adaptability for those who need it.
Solution Approach 2:
The system provides universal data access through views that work for all user skill levels. The same view interface serves both novice users who need simplicity and advanced users who require customization, making the system multi-functional across different user competencies.
Data Source
AI summary
An application, such as a data store application, provides a filter query to manage access to a view of a data store. The application uses the filter query to restrict or shape access to the view. A user constructs the filter query using a query constructor component of the application. The application attaches the constructed filter query to the view. The application may extract the structure of the query and combine that with the original view to generate a filtered view result in place of the original view result.