Böblingen, Germany

Thomas Friedhelm Böhme

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Thomas Friedhelm Böhme: Innovator in Database Technology

Introduction

Thomas Friedhelm Böhme is a notable inventor based in Böblingen, Germany. He has made significant contributions to the field of database technology, particularly through his innovative patent. His work focuses on enhancing the efficiency of database queries, which is crucial in today's data-driven world.

Latest Patents

Thomas Friedhelm Böhme holds a patent for a "Query and Data Adaptive Synopsis Table." This invention includes techniques for providing a query and data adaptive synopsis table. A non-limiting example method involves building a first synopsis table containing metadata for a database table. Information from queries executed against the database table is collected and analyzed. When the number of queries executed against the database table exceeds a query collection threshold, the method identifies one or more queries for which the first synopsis table was suboptimal. Subsequently, a second synopsis table is built for each of these identified queries.

Career Highlights

Böhme is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in database management systems. His innovative approach has positioned him as a key player in the field.

Collaborations

Throughout his career, Thomas has collaborated with talented individuals such as Oliver Schiller and Tobias Kevin Fränzel. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Thomas Friedhelm Böhme's contributions to database technology through his patent demonstrate his commitment to innovation. His work not only enhances the efficiency of database queries but also reflects the importance of adaptive technologies in the modern data landscape.

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