Company Filing History:
Years Active: 2016-2021
Title: Mathias Trumpp: Innovator in Data Processing Technologies
Introduction
Mathias Trumpp is a prominent inventor based in Ulm, Germany. He has made significant contributions to the field of data processing, particularly in the development of methods for handling large data tables. With a total of 8 patents to his name, Trumpp's work has had a substantial impact on how data is managed and queried in various applications.
Latest Patents
Trumpp's latest patents include innovative methods for efficient spatial queries in large data tables. This method involves processing data blocks that contain multidimensional spatial data objects. The approach creates attribute metadata for each data block, which includes information defining a multidimensional minimum bounding rectangle. This rectangle is crucial for checking whether a data block contains relevant attribute values within a specified query area. Another notable patent focuses on processing large data tables by dividing them into multiple data blocks and generating a multidimensional data structure. This structure allows for selective processing of data blocks, enhancing efficiency and performance.
Career Highlights
Mathias Trumpp is currently associated with the International Business Machines Corporation (IBM), where he continues to innovate in the realm of data processing technologies. His work has been instrumental in advancing the capabilities of data management systems, making them more efficient and effective for users.
Collaborations
Trumpp has collaborated with several notable colleagues, including Andreas Brodt and Knut Stolze. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Mathias Trumpp's contributions to data processing are noteworthy, and his patents reflect a deep understanding of the complexities involved in managing large datasets. His work continues to influence the field, paving the way for future innovations in data management.
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