Haojun Liao

Title: Innovations of Haojun Liao in Time Series Data Storage

Introduction

Haojun Liao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of data storage, particularly in the efficient management of time series data. With a total of four patents to his name, Liao's work is recognized for its innovative approaches to data handling.

Latest Patents

Haojun Liao's latest patents include a "Method for Storing Time Series Data" and an "Efficient Storage Method for Time Series Data." The first patent provides a method that involves caching time series data in a row-based storage manner and determining how to write this data to disk based on the number of records. This method allows for efficient merging and storage of data in a column-based manner. The second patent discloses a method that separates time series data collected by data samplers from their static attribute data. This approach not only saves storage space but also enhances processing efficiency and speed, allowing for flexible query processing.

Career Highlights

Haojun Liao is currently employed at Taos Data, where he continues to develop innovative solutions for data storage challenges. His work has been instrumental in advancing the capabilities of data management systems, particularly in handling large volumes of time series data.

Collaborations

Liao collaborates with notable colleagues such as Hongze Cheng and Jianhui Tao. Their combined expertise contributes to the innovative environment at Taos Data, fostering advancements in data storage technologies.

Conclusion

Haojun Liao's contributions to the field of time series data storage exemplify the importance of innovation in technology. His patents reflect a commitment to improving data management practices, making significant strides in efficiency and effectiveness.