San Mateo, CA, United States of America

Junyi Song

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):

Title: Innovations by Junyi Song in Data Synchronization

Introduction

Junyi Song is an accomplished inventor based in San Mateo, CA, known for his significant contributions to data synchronization technologies. With a total of four patents to his name, he has developed innovative solutions that enhance the efficiency and reliability of data management processes.

Latest Patents

One of Junyi Song's latest patents is titled "Self-healing data synchronization." This invention outlines a self-healing process that begins with receiving a collection of data change events. It identifies corresponding data records and initiates syncing. The process also involves storing data that indicates which records successfully synced and which failed. During a subsequent stage, it identifies data change events that occurred within a specific time frame and determines a third set of data records for syncing, excluding any that failed previously.

Another notable patent is "Parallel data synchronization of hierarchical data." This invention maintains a data sync cache to facilitate the syncing of child data objects between two computing systems. It ensures that successful syncing of parent data objects is recorded in the cache, allowing for efficient syncing of child data objects while reducing failed syncs and unnecessary API calls.

Career Highlights

Junyi Song is currently employed at Zuora, Inc., where he continues to innovate in the field of data synchronization. His work has significantly impacted how data is managed and synchronized across various platforms.

Collaborations

Some of Junyi's coworkers include Liangqi Wang and Sean Mahbod, who contribute to the collaborative environment that fosters innovation at Zuora, Inc.

Conclusion

Junyi Song's inventive work in data synchronization showcases his expertise and commitment to advancing technology in this field. His patents reflect a deep understanding of data management challenges and offer practical solutions that enhance operational efficiency.

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