This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2026
Title: Kabita Mahapatra: Innovator in Distributed Data Processing
Introduction
Kabita Mahapatra is a notable inventor based in Redmond, WA (US). She has made significant contributions to the field of data processing, particularly in the area of distributed histogram computation. Her innovative work has implications for how large data sets are managed and analyzed.
Latest Patents
Kabita holds a patent for a "Distributed histogram computation framework using data stream sketches and samples." This patent describes methods for distributed histogram computation in a framework that utilizes data stream sketches and samples. The system allows for the scanning and processing of large data sets without sorting, generating local sketches and value samples for each distribution. These local sketches are then used to construct local histograms, which help in obtaining cardinality estimates for query plan generation against the entire data set. The global histogram created from merged local statistics is essential for efficient query processing.
Career Highlights
Kabita is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate in the field of data processing. Her work is instrumental in enhancing the efficiency of data management systems, making her a valuable asset to her team and the company.
Collaborations
She collaborates with talented individuals such as Sumeet Priyadarshee Dash and Arnd Christian König, contributing to a dynamic and innovative work environment.
Conclusion
Kabita Mahapatra's contributions to distributed data processing through her patent and work at Microsoft Technology Licensing, LLC highlight her role as a leading inventor in her field. Her innovative approaches are paving the way for advancements in data management and analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
