Company Filing History:
Years Active: 2014-2016
Title: Innovations of Philipp Unterbrunner
Introduction
Philipp Unterbrunner is an accomplished inventor based in Zurich, Switzerland. He has made significant contributions to the field of data storage and retrieval, holding a total of three patents. His work focuses on enhancing the efficiency and predictability of data operations in distributed systems.
Latest Patents
Unterbrunner's latest patents include "Continuous full scan data store table" and "Distributed data store featuring predictable answer time for unpredictable workload." The first patent describes a distributed data store that comprises a storage layer with multiple storage nodes. Each storage node is designed to receive and queue table operations, while an aggregation layer routes these operations and merges the results. The innovation includes dedicated scan threads for continuous and full scanning of table segments associated with processor cores.
The second patent outlines a method for storing and retrieving data within a storage node of a data store. It emphasizes the use of main-memory to store segments of a relational table. Each storage node operates with at least one computational core running a scan thread dedicated to scanning a specific segment. This method allows for the continuous and exhaustive scanning of data, ensuring efficient processing of query and update operations.
Career Highlights
Throughout his career, Unterbrunner has worked with notable organizations such as Amadeus S.a.s. and Cornell University. His experience in these institutions has contributed to his expertise in data management and innovative solutions in technology.
Collaborations
Unterbrunner has collaborated with professionals like Dietmar Fauser and Jeremy Meyer, further enhancing his work in the field of data storage and retrieval.
Conclusion
Philipp Unterbrunner's contributions to data storage technology through his patents and career experiences highlight his role as a significant innovator in the field. His work continues to influence advancements in data management systems.
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