In enterprise cloud storage solutions, especially for large datasets stored on OneDrive, management and analysis could not be performed in sufficient detail through standard interfaces. There was a need for in-depth analysis of file structures, metadata, and content relationships.
To address this need, OneDrive Explorer was developed as a tool that makes OneDrive data more transparent, analyzable, and auditable.
Technically, the project:
Is developed in Python
Accesses OneDrive data via the Microsoft Graph API
Performs JSON-based data processing and output generation
Is optimized to handle large-scale datasets
The tool provides the following capabilities:
Detailed extraction of OneDrive file and folder structures
Metadata analysis (file size, creation date, ownership, etc.)
Data export and reporting
Key problems solved by this project:
Enabled data visibility beyond what is accessible through standard UI
Made data extraction possible for digital forensics and auditing processes
Significantly reduced analysis time for large-scale OneDrive structures
Additionally, the project:
Can be integrated into different analysis pipelines due to its script-based nature
Allows easy extension with new analysis scenarios thanks to its modular structure