distributed system for managing and transferring large heterogeneous data between multiple organizations with regards to data confidentiality

Modern organizations encounter significant challenges in managing heterogeneous big data due to its diverse origins, various types, formats, and contents. this complexity complicates data analysis and integration, especially given the vast amounts of data produced and the need to access multiple data sources. to address these issues, this article introduces a distributed data management system designed to handle and process large volumes of diverse data efficiently. suitable for organizations of all sizes, the proposed system offers a comprehensive top-layer interface that facilitates the management and integration of data from various sources. by leveraging a distributed architecture, this solution aims to simplify data handling, enhance accessibility, and provide a unified platform for effective data analysis and decision-making.