Santa Clara, CA, United States of America

Wang Pin Hsiung


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 21(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Wang Pin Hsiung: Innovator in Database Distribution Technologies

Introduction

Wang Pin Hsiung is a notable inventor based in Santa Clara, CA (US). He has made significant contributions to the field of database technologies, particularly in scalable storage solutions. His innovative work has led to the development of a patented system that enhances database distribution and querying processes.

Latest Patents

Wang Pin Hsiung holds a patent for a system and methods for database distribution and querying over key-based scalable storage. This system includes one or more application nodes that send SQL queries to query execution nodes. Each query execution node translates these SQL queries into key-based requests directed to the storage engine, which consists of one or more storage nodes. The system provides an abstraction layer with both an external schema and an internal schema, effectively mapping the external schema into the internal schema. Additionally, it generates one or more microshards for the storage node. This innovative approach streamlines database operations and enhances efficiency.

Career Highlights

Wang is currently employed at NEC Laboratories America, Inc., where he continues to push the boundaries of database technology. His work at NEC Laboratories has allowed him to explore advanced methodologies in data management and storage solutions.

Collaborations

Wang has collaborated with talented individuals such as Junichi Tatemura and Arsany Sawires. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Wang Pin Hsiung is a distinguished inventor whose work in database distribution and querying has made a significant impact in the field. His patented technologies are paving the way for more efficient data management solutions.

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