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Location History:
- Heidelberg, DE (2013)
- Walldorf, DE (2007 - 2024)
Company Filing History:
Years Active: 2007-2024
Title: Franz Faerber: An Innovator in Query Processing and Data Management
Introduction
Franz Faerber, based in Walldorf, Germany, is a renowned inventor with an impressive portfolio of 55 patents. His innovative work focuses primarily on advancements in query processing and integrated application frameworks, which have significantly impacted the tech industry.
Latest Patents
Franz Faerber holds several notable patents, including:
1. **Unified table query processing** - This invention outlines a system and method for query processing within a multi-level storage system featuring a unified table architecture. It involves a common query execution engine that performs look-ups for specified data records, enhancing the efficiency of data retrieval across various storage structures.
2. **Integrated application server and data server processes with matching data formats** - This patent details a computer-implemented method for storing and accessing data using application custom data types and structures. The invention facilitates seamless data retrieval from databases, ensuring compatibility between applications and stored data.
Career Highlights
Franz Faerber has contributed his expertise to leading tech companies, notably SAP SE and SAP AG. His role at these firms allowed him to influence the development of solutions that enhance data processing and management practices within the software industry.
Collaborations
Throughout his career, Franz has collaborated with remarkable individuals, including Juchang Lee and Ivan Schreter. Together, they have contributed to groundbreaking innovations that continue to shape the future of technology.
Conclusion
With a wealth of experience and a strong portfolio of patents, Franz Faerber stands out as a significant contributor to the fields of query processing and data management. His inventions not only advance technology but also offer practical solutions that address complex data challenges in modern applications.
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