Cloud Data Precipitation for Human-Readable Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Data stored in cloud systems or third-party systems is often in cryptic, numerical formats, making it difficult for entities to compile and retrieve relevant information without access to the cloud vendor's native application.
Innovation Solution
A method for reformatting data into readable textual formats, sorting data packets based on data groups and types, and storing them in organized folders named with unique alphanumerical characters, allowing for human-readable file structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in cloud systems using relational database systems, then data can be stored in various locations with cryptic numerical relationships, but data becomes difficult to retrieve and understand without access to the cloud vendor's native application
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the cloud database and the end user. This intermediary retrieves data from the cloud vendor's database using API calls, transforms it into a human-readable format, and presents it to users without requiring them to access the native application. The intermediary essentially bridges the gap between the cryptic numerical storage format and user-friendly data access.
Solution Approach 2:
The patent creates a copy of the data from the cloud database in a different, more accessible format. Instead of requiring users to interact with the original cloud-based relational database, the system retrieves the data and generates local copies in human-readable formats (such as text files or structured documents) that can be accessed and understood without the vendor's native application.
2Productivity
If data is stored in cryptic numerical formats in cloud systems, then data can be efficiently stored, but data becomes unreadable and unusable without specialized software
Solution Approach 1:
The patent changes the parameters of data representation from cryptic numerical formats to human-readable formats. The system retrieves data in its original format from the cloud database, then transforms it by changing its parameters (format, structure, presentation) into forms that are both readable and usable. This allows the same data to maintain its storage efficiency while becoming accessible to users without specialized software.
3Adaptability or versatility
If entities want to compile entity data without using the cloud vendor's native application, then data independence is achieved, but the process becomes tedious and complex
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically performs the complex tasks of data retrieval, transformation, and compilation without requiring manual intervention from the entity. The intermediary system handles all the complexity of querying the cloud database, transforming the data format, and organizing the information, allowing entities to access their data independently through a simplified interface.
Data Source
AI summary
Various methods, systems, and computer program products are provided for associating precipitated data. An example method includes receiving a first data packet. A first document is referenced in at least one data field of the first data packet. The method also includes determining at least one of a document type or a file path associated with the first document. The method further includes assigning the first document to a first document sub-folder of one or more document sub-folders. The assignment is based on the at least one of the document type or the file path of the first document. The method still further includes storing the first document in the first document sub-folder. Each of the one or more document sub-folders contains one or more document that have a same file path and are associated with the first identification record.