Lu Jin

Title: Innovations of Lu Jin in Data Query Efficiency

Introduction

Lu Jin is an accomplished inventor based in Hangzhou, China, known for his significant contributions to data query efficiency. With a total of three patents to his name, he has developed innovative methods that enhance the performance of data aggregation and real-time matching.

Latest Patents

One of Lu Jin's latest patents is titled "Structure and method of aggregation index for improving aggregation query efficiency." This invention provides an aggregation index structure and method that partitions streaming data through two dimensions of grouping and slicing, allowing for efficient data aggregation. The structure includes index metadata, a sliced data list, and a detailed data store. The method consists of three parts: aggregation index definition, aggregation index creation, and aggregation index query. This innovation significantly improves the efficiency of aggregation queries, enabling the processing of PB-level data in seconds and supporting real-time data insertion.

Another notable patent is the "Method for reverse real-time matching based on event-driven graph patterns." This method defines a graph pattern and establishes a reverse matching architecture to solve the problem of event-driven subgraph matching in real-time scenarios. The graph pattern describes spatial connections among vertices and edges in reverse order, facilitating efficient matching processes.

Career Highlights

Lu Jin has worked with several companies, including Zhejiang Bangsun Technology Co., Ltd. and Advanced New Technologies Co., Ltd. His experience in these organizations has contributed to his expertise in developing innovative solutions for data management and query efficiency.

Collaborations

Lu Jin has collaborated with notable individuals in his field, including Xingen Wang and Xinyu Wang, who have contributed to his projects and innovations.

Conclusion

Lu Jin's work in improving data query efficiency through innovative patents showcases his expertise and commitment to advancing technology. His contributions are significant in the realm of data management and real-time processing.