Daniel Wong

Title: The Innovative Contributions of Daniel Wong

Introduction

Daniel Wong is an accomplished inventor based in San Diego, California. He has made significant contributions to the field of database management and query processing. With a total of two patents to his name, Wong's work has had a notable impact on how data is processed and utilized in relational database systems.

Latest Patents

Wong's latest patents include "Techniques for query processing using high dimension histograms" and "Parallelizable gridded geospatial join (PGGJ)." The first patent focuses on representing relational data for a database table with multiple columns as a histogram. In this method, the histogram's buckets are clustered into fewer clusters, which are represented in hyper-space as line segments with thickness values. These average frequencies are then utilized by a query optimizer to enhance query processing efficiency. The second patent, PGGJ, involves normalizing statistics for a relational database management system's set of tables and computing a grid. It determines grid cells with an above-threshold number of entries and dynamically constructs an R-Tree for those cells to facilitate geospatial join operations.

Career Highlights

Throughout his career, Daniel Wong has worked with notable companies such as Teradata and Teradata US, Inc. His experience in these organizations has allowed him to refine his skills and contribute to advancements in database technologies.

Collaborations

Wong has collaborated with talented individuals in his field, including Congnan Luo and Heng Yuan. These partnerships have likely fostered innovation and the exchange of ideas, further enhancing his contributions to technology.

Conclusion

Daniel Wong's innovative patents and career achievements highlight his significant role in the advancement of database management technologies. His work continues to influence the way data is processed and utilized in various applications.