Managed Input Tables for Secure Data-Warehouse Editing
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Solution Overview
Problem
Modern businesses face challenges in efficiently manipulating and updating large datasets stored in cloud-based data warehouses due to the complexity of database queries and the limitations of user abilities in composing and issuing efficient database queries.
Innovation Solution
A system and method for editing data-warehouse tables using managed input tables, where a table manager receives instructions through a client computing system, applies edits to an input table, and generates database statements to combine the base table with the input table, allowing users to manipulate data sets efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users directly manipulate base tables in cloud-based data warehouses, then data manipulation capability is improved, but system security and data integrity deteriorate
Solution Approach 1:
The patent introduces an intermediary computing system that acts as a mediator between users and the cloud-based data warehouse. This intermediary receives user requests, translates them into appropriate database operations, and returns results without exposing the underlying base table structure. This resolves the contradiction by enabling easy data manipulation through user-friendly interfaces while maintaining data integrity through controlled access and validation mechanisms.
2Adaptability or versatility
If complex database queries are used to manipulate data, then query functionality is improved, but user ability requirements deteriorate
Solution Approach 1:
The patent creates a virtual copy or representation of the base table that can be manipulated without affecting the actual data warehouse structure. This virtual table provides full query functionality and flexibility while isolating users from complex database operations. Users can perform sophisticated data manipulation on the copy without needing to understand underlying query complexities, thus resolving the contradiction between versatile query functionality and ease of operation.
3Productivity
If direct table edits are applied to base tables, then editing efficiency is improved, but system complexity and security requirements deteriorate
Solution Approach 1:
The patent segments the data manipulation system into distinct layers: a user interface layer for efficient editing operations, an intermediary processing layer for translation and validation, and a data storage layer for secure base table management. This segmentation allows efficient editing at the user level while complex security and validation rules are handled automatically by the intermediary layer, resolving the contradiction between editing efficiency and system complexity.
Data Source
AI summary
Editing data-warehouse tables using managed input tables including presenting, by a table manager via a client computing system, a base table from a cloud-based data warehouse; receiving, by the table manager, an instruction to modify the base table, wherein the instruction comprises a table edit; applying, by the table manager, the table edit to an input table on the cloud-based data warehouse; and creating, by the table manager, a modified base table by generating a database statement composed to combine the base table with the input table.