Boyi Ni

Title: Boyi Ni - Innovator in Time Series Data Management

Introduction

Boyi Ni is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of data management, particularly in the optimization of time series data storage and representation. With a total of 3 patents, his work focuses on enhancing the efficiency and accessibility of time series data.

Latest Patents

Boyi Ni's latest patents include innovative solutions for generating and storing multi-representations of time series data. One of his patents, titled "Advisor generating multi-representations of time series data," describes an advisor that creates configurations based on detected characteristics such as length, interval, and data types. This advisor can operate in both offline and online modes, adapting to changes in current workloads. It references a cost model to optimize various dimensions of multi-representations, ensuring efficient data management.

Another notable patent is "Multi-representation storage of time series data," which presents a flexible approach to storing time series data. This method utilizes multiple representations to optimize aspects such as accuracy and compression models. By applying different compression techniques to various portions of a time series, Boyi Ni's invention allows for efficient access and management of data, catering to specific analytical needs.

Career Highlights

Boyi Ni is currently employed at SAP SE, where he continues to develop innovative solutions in data management. His expertise in time series data has positioned him as a key contributor to advancements in this field.

Collaborations

Throughout his career, Boyi Ni has collaborated with notable colleagues, including Lars Dannecker and Gordon Gaumnitz. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Boyi Ni's contributions to the field of time series data management are noteworthy and impactful. His innovative patents reflect a deep understanding of data optimization and accessibility. As he continues to work at SAP SE, his influence in the industry is expected to grow, paving the way for future advancements in data management.