This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Innovations of Inventor Xiao Meng
Introduction
Xiao Meng is an accomplished inventor based in Waterloo, Canada. He has made significant contributions to the field of data analytics, particularly through his innovative patent that enhances exploratory data analysis for enterprises.
Latest Patents
Xiao Meng holds a patent titled "Approximate analytics with query-time sampling for exploratory data analysis." This patent describes a system and method designed to facilitate exploratory data analytics for an enterprise. The invention involves a storage area network for a column-oriented relational database management system that contains electronic records storing enterprise information. A query engine receives query parameters from a user via an interactive user interface. The query engine then automatically generates an approximate query for exploratory data analytics using query-time sampling. This approximate query is associated with a stratified sampler with randomized row access and a hash-based, outlier-aware join sampler. The approximate query is executed in connection with the enterprise information in the storage area network, and the results are provided to the user via the user interface. Xiao Meng has 1 patent to his name.
Career Highlights
Xiao Meng is currently employed at SAP SE, where he continues to work on innovative solutions in data analytics. His expertise in this area has positioned him as a valuable asset to his team and the company.
Collaborations
Xiao collaborates with Gunes Aluc, a talented woman in the field, contributing to various projects that aim to advance data analytics technologies.
Conclusion
Xiao Meng's innovative work in data analytics exemplifies the impact of modern inventions on enterprise solutions. His contributions are paving the way for more efficient data analysis methods in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
