Company Filing History:
Years Active: 2014-2023
Title: The Innovative Contributions of Marcel Kassner
Introduction
Marcel Kassner is a notable inventor based in Hockenheim, Germany. He has made significant contributions to the field of data management and technology, holding a total of six patents. His work focuses on enhancing data copying techniques and metadata-driven data maintenance, which are crucial in today's digital landscape.
Latest Patents
One of Kassner's latest patents is titled "Techniques for selective copying of file data of a data source." This patent describes methods for copying data from a source client to a target client, allowing users to choose between a full or partial copy of the data. If a partial copy is selected, specific file types can be included or excluded from the copy process. The system analyzes the data source to determine which files should be copied based on the user's selections.
Another significant patent is "Metadata-driven data maintenance." This invention provides techniques for maintaining data through metadata-driven processes. It involves obtaining data object queries from various frameworks and building data object nets based on these queries. The analysis of these nets allows for effective data object maintenance, ensuring that data remains organized and accessible.
Career Highlights
Throughout his career, Marcel Kassner has worked with prominent companies such as SAP SE and SAP AG. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in data management technologies.
Collaborations
Kassner has collaborated with several professionals in his field, including Markus Reetz-Lamour and Christian Boehrer. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.
Conclusion
Marcel Kassner's contributions to the field of data management through his patents and collaborations highlight his role as a significant inventor. His work continues to influence the way data is handled and maintained in various technological applications.
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