Company Filing History:
Years Active: 2023
Title: Yip Man Tsang - Innovator in Data Analysis
Introduction
Yip Man Tsang is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data analysis, particularly in optimizing large-scale datasets. His innovative approach has led to the development of a patented technology that enhances the efficiency of data processing.
Latest Patents
Yip Man Tsang holds a patent for "Optimizing large scale data analysis." This patent encompasses methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that facilitate resource and space-efficient analysis of large-scale datasets. The methods involve obtaining activity data for objects in a dataset. For each data item, a hashed parameter with a binary representation is generated using an identifier for the object. A register is identified from a set of registers based on the hashed parameter. A determination is made that the hashed parameter contributes to an aggregation amount that specifies the number of occurrences of the object in the dataset. Based on this determination, the aggregation amount stored in the register is updated. Finally, a reporting output is generated that provides an aggregate distribution of the objects in the dataset based on the activity data.
Career Highlights
Yip Man Tsang is currently employed at Google Inc., where he continues to innovate and develop new technologies. His work focuses on improving data analysis techniques, which are crucial for handling the vast amounts of information generated in today's digital world.
Collaborations
Yip has collaborated with talented individuals such as Evgeny Skvortsov and Jeffrey Wilhelm, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Yip Man Tsang's contributions to data analysis through his patented technology exemplify the impact of innovative thinking in the tech industry. His work at Google Inc. continues to shape the future of data processing and analysis.