Sunnyvale, CA, United States of America

Yijie Bu

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yijie Bu - Innovator in Change Data Capture Technology

Introduction

Yijie Bu is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of database technology. He has developed innovative methods that enhance the efficiency and reliability of data management systems. His work primarily focuses on change data capture, which is crucial for maintaining data integrity in distributed databases.

Latest Patents

Yijie Bu holds a patent for a method titled "Change data capture state tracking for multi-region multi-master noSQL database." This patent outlines a sophisticated approach to change data capture state tracking, which involves accessing a distributed database comprising multiple clusters. Each cluster contains several partitions and is designed to handle both read and write operations. The method includes receiving changes for a second table, storing these changes in a replication log, and asynchronously replicating them to a first table while maintaining a change stream position.

Career Highlights

Yijie Bu is currently employed at Google Inc., where he applies his expertise in database technologies to develop cutting-edge solutions. His innovative work has significantly contributed to the advancement of data management practices within the company.

Collaborations

Yijie has collaborated with talented coworkers such as Zijie Li and Shitanshu Verma, who share his passion for innovation in technology. Their combined efforts have led to the development of impactful solutions in the field of data management.

Conclusion

Yijie Bu's contributions to change data capture technology exemplify his commitment to innovation and excellence in the field of database management. His work continues to influence the way data is handled in distributed systems, showcasing the importance of effective data tracking methods.

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