Company Filing History:
Years Active: 2022-2024
Title: Reinhard Sudmeier: Innovator in Data Processing Technologies
Introduction
Reinhard Sudmeier is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of data processing, particularly in the area of extract, transform, load (ETL) operations. With a total of 3 patents to his name, Sudmeier's work focuses on improving memory usage and efficiency in data processing tools.
Latest Patents
One of Sudmeier's latest patents is titled "Control mechanism of extract transfer and load (ETL) processes to improve memory usage." This invention describes a data processing tool designed to cease operations of multiple database readers when a congestion condition is detected. The tool comprises a memory, processors, and several database readers, which work together to determine and respond to congestion conditions in data pipelines.
Another significant patent is "Parallel load operations for ETL with unified post-processing." This computer-implemented system allows for parallel load operations during ETL processes. It generates a single transaction with multiple processes, each loading into a target table simultaneously. The system also performs verification on the transaction to ensure data integrity.
Career Highlights
Reinhard Sudmeier is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His work at SAP has allowed him to develop innovative solutions that enhance data processing capabilities for various applications.
Collaborations
Sudmeier has collaborated with several talented individuals in his field, including Sreenivasulu Gelle and Alexander Ocher. These collaborations have contributed to the advancement of technologies in data processing and ETL operations.
Conclusion
Reinhard Sudmeier's contributions to data processing technologies through his patents and work at SAP SE highlight his role as an influential inventor in the industry. His innovative solutions continue to shape the future of data management and processing.