San Francisco, CA, United States of America

Junjie Liang


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Junjie Liang: Innovator in Database Recovery Techniques

Introduction

Junjie Liang is a prominent inventor based in San Francisco, CA. He is known for his contributions to database technology, particularly in the area of recovery techniques for read-replica databases. His innovative approach has garnered attention in the tech industry, especially within his workplace at Google Inc.

Latest Patents

Junjie Liang holds a patent titled "Technique for parallel recovery on read replica." This patent focuses on a parallel recovery mode that applies log records while allowing read queries on read-replica databases. The method includes applying log records in log sequence number (LSN) order for a block or multiple blocks. It also manages log records affecting multiple blocks and maintains transactional consistency on read queries by managing dependencies between different log records. This innovative technique enhances the efficiency and reliability of database operations.

Career Highlights

Throughout his career, Junjie has made significant strides in the field of database management. His work at Google Inc. has positioned him as a key player in developing advanced technologies that improve data handling and recovery processes. His expertise in this area has led to the creation of solutions that benefit a wide range of applications.

Collaborations

Junjie Liang has collaborated with talented individuals such as Anjan Kumar Amirishetty and Simhachala Sasikanth Gottapu. These collaborations have fostered an environment of innovation and creativity, leading to the development of cutting-edge technologies in the field of database management.

Conclusion

Junjie Liang's contributions to database recovery techniques exemplify the impact of innovative thinking in technology. His patent and work at Google Inc. highlight the importance of advancements in data management, ensuring that systems remain efficient and reliable.

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