Seattle, WA, United States of America

Qu Chen


Average Co-Inventor Count = 6.4

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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2 patents (USPTO):

Title: Qu Chen: Innovator in Database Management Systems

Introduction

Qu Chen is a notable inventor based in Seattle, WA, who has made significant contributions to the field of database management systems. With a total of 2 patents, he has developed innovative solutions that enhance data storage and accessibility.

Latest Patents

One of Qu Chen's latest patents is focused on a database with in-memory data stores. This patent describes a database management system that maintains a collection of data using a log-based storage structure. In response to a request to store data items, the system stores mapping information to a data item in an in-memory data structure while the data items are stored on the log-based storage structure. The hash of the key includes information to identify an index entry that maps to the location of the data item stored on the log-based storage structure. Another significant patent addresses providing access to data within a migrating data partition. This innovation allows data within a database partition that is being migrated to be made available for access. While writes to the selected data may be prevented during migration, writes to other data or read access to any of the partition may still be allowed.

Career Highlights

Qu Chen is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of database technology. His work has been instrumental in developing systems that improve data management efficiency and reliability.

Collaborations

Qu Chen has collaborated with notable colleagues, including Kevin Robert McGehee and Rajib Dugar, contributing to a dynamic and innovative work environment.

Conclusion

Qu Chen's contributions to database management systems exemplify his commitment to innovation and excellence in technology. His patents reflect a deep understanding of data management challenges and provide effective solutions for modern applications.

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