Company Filing History:
Years Active: 2025
Title: Shicai Zeng: Innovator in Hybrid Transactional/Analytical Processing
Introduction
Shicai Zeng is a notable inventor based in Beijing, China. He has made significant contributions to the field of database technology, particularly in hybrid transactional/analytical processing systems. His innovative approach has led to the development of a unique patent that addresses critical challenges in data management.
Latest Patents
Shicai Zeng holds a patent titled "Predicate evaluation based on CPU utilization of shared storage." This patent describes a hybrid transactional/analytical processing (HTAP) database that includes an online transaction processing (OLTP) engine and an online analytical processing (OLAP) engine, which are provided separately from each other. The shared storage in this system is designed to hold data for multiple tenants and is configured to receive requests from the OLAP engine for evaluating predicates against the stored data. Notably, the shared storage can determine when its CPU utilization exceeds a predicate refusal threshold and can refrain from evaluating certain predicates to optimize performance. This innovation is crucial for enhancing the efficiency of data processing in complex environments.
Career Highlights
Throughout his career, Shicai Zeng has worked with several prominent companies, including Lemon Inc. and Douyin Vision Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.
Collaborations
Shicai Zeng has collaborated with talented individuals such as Wei Ding and Jianfeng Qian. These partnerships have fostered a creative environment that has led to the development of innovative solutions in the field of database technology.
Conclusion
Shicai Zeng is a distinguished inventor whose work in hybrid transactional/analytical processing has made a significant impact on the industry. His patent and collaborations reflect his commitment to advancing technology and improving data management systems.