Company Filing History:
Years Active: 2008-2023
Title: Innovations by Matthew Dombroski
Introduction
Matthew Dombroski is an accomplished inventor based in Lancaster, MA (US). He has made significant contributions to the field of technology, particularly in database management and data processing. With a total of 5 patents to his name, Dombroski's work has had a notable impact on how data is handled in modern applications.
Latest Patents
Dombroski's latest patents include innovative techniques for autonomous caching of hierarchical data. This patent outlines methods for storing query log data that corresponds to different instances of executed queries against a database. It details how to identify multiple tuples in the query log data and generate aggregated performance data to determine whether to create or delete auto-cache tables. Another significant patent focuses on efficient processing of relational joins of multidimensional data. This technique involves predicate abduction, which allows for the identification of predicates on attributes of dimensional data without the need to join a fact table with a dimension table. Additionally, it introduces buffer reuse, which optimizes the extraction of multidimensional data by storing it in buffers for subsequent iterations.
Career Highlights
Matthew Dombroski is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in data management. His expertise in database technologies has positioned him as a valuable asset to the company and the industry at large.
Collaborations
Dombroski has collaborated with talented coworkers such as Ekrem Soylemez and Caleb Welton. Their combined efforts contribute to the advancement of technology and the development of cutting-edge solutions.
Conclusion
Matthew Dombroski's contributions to the field of technology through his patents and work at Oracle International Corporation highlight his role as a leading inventor in data management. His innovative techniques continue to shape the future of database processing and efficiency.