Seattle, WA, United States of America

Wenhao Song


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2024

Loading Chart...
2 patents (USPTO):Explore Patents

Title: The Innovations of Wenhao Song

Introduction

Wenhao Song is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of database systems, particularly in the areas of clustering and compaction of materialized views. With a total of two patents to his name, Wenhao's work has the potential to enhance the efficiency and performance of database management.

Latest Patents

Wenhao Song's latest patents include innovative methods and systems for clustering and compaction of materialized views on a database system. One of his patents focuses on providing a cluster view method that performs compaction and clustering of database objects, such as materialized views. This system identifies materialized views that contain stale data and integrates maintenance operations to compact and cluster these views effectively. Another patent addresses the maintenance of clustered materialized views, implementing a cache to store changes and utilizing clustering techniques to optimize data management.

Career Highlights

Wenhao currently works at Snowflake Inc., a company known for its cloud-based data warehousing solutions. His role involves leveraging his expertise in database systems to develop innovative solutions that improve data handling and accessibility. His contributions have been instrumental in advancing the capabilities of the company's offerings.

Collaborations

Wenhao collaborates with talented individuals such as Varun Ganesh and Saiyang Gou. Together, they work on projects that push the boundaries of database technology and enhance the overall functionality of their systems.

Conclusion

Wenhao Song's contributions to the field of database systems through his patents and work at Snowflake Inc. highlight his innovative spirit and dedication to improving data management. His advancements in clustering and compaction techniques are paving the way for more efficient database operations.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…