Berlin, Germany

Sven Lehmann

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2019.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Sven Lehmann

Introduction

Sven Lehmann is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of data processing through his innovative ideas and patents. His work focuses on enhancing the efficiency of data management systems, which is crucial in today's data-driven world.

Latest Patents

Sven holds a patent for the "Redistribution of data processing tasks." This patent discloses a system, method, and computer program product for a data processing redistribution system. An embodiment operates by an in-memory database that includes a portion of data from a remote database. It receives a request to perform a procedure on a portion of data of the remote. A remote processor having access to the portion of data is identified to execute the procedure. The result data is then received from the remote processor and provided to an application responsive to the request. This innovative approach streamlines data processing and enhances overall system performance.

Career Highlights

Sven is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His role at SAP SE allows him to work on cutting-edge technologies and contribute to the development of advanced data processing systems.

Collaborations

Sven collaborates with talented professionals in his field, including Nitesh Maheshwari and Shahul Hameed P. These collaborations foster a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Sven Lehmann's contributions to data processing through his patent and work at SAP SE highlight his role as a key innovator in the technology sector. His dedication to improving data management systems is paving the way for future advancements in the field.

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