This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Innovations by Yin He in Stream Processing
Introduction
Yin He is an accomplished inventor based in Kirkland, WA (US). She has made significant contributions to the field of data processing, particularly in stream processing within search data pipelines. Her innovative approach has led to the development of a unique architecture that enhances the efficiency of data processing systems.
Latest Patents
Yin He holds a patent for "Stream processing in search data pipelines." This architecture decomposes one or more monolithic data concepts into atomic concepts and their related dependencies. It provides a framework for streaming data processing that focuses on individual or separate atomic data concepts. The architecture allows for data-driven processing, enabling the seamless integration of new data concepts with minimal effort. By streaming only the required data concepts and their dependencies, it facilitates efficient processing. Additionally, it supports both incremental and non-incremental metric processing, allowing for real-time access and monitoring of operational parameters and queries.
Career Highlights
Yin He is currently associated with Microsoft Technology Licensing, LLC, where she continues to innovate and contribute to advancements in technology. Her work has been instrumental in improving data processing methodologies, making them more adaptable and efficient.
Collaborations
Yin has collaborated with notable colleagues, including Wei Guang Lu and Michael Kinoti, who have contributed to her projects and innovations.
Conclusion
Yin He's contributions to stream processing and data architecture represent a significant advancement in the field. Her innovative patent showcases her ability to enhance data processing systems, making them more efficient and adaptable to new concepts.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
