Dublin, CA, United States of America

Ashrita Battepati


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Ashrita Battepati: Innovator in Data Processing Technology

Introduction

Ashrita Battepati is a prominent inventor based in Dublin, California. She has made significant contributions to the field of data processing, particularly with her innovative patent that addresses schema changes in databases. Her work is instrumental in enhancing the efficiency of data management systems.

Latest Patents

Ashrita holds a patent titled "Efficient data processing for schema changes." This patent describes a system for processing database data that includes an interface and a processor. The interface is designed to receive queries for database data, which comprise a date range and a data selection criterion. The processor determines a set of fields corresponding to the most recent date of the date range, identifies a subset of fields specified by the data selection criterion, and establishes a set of transformations for the database data. Ultimately, the system transforms the database data and selects relevant data based on the specified criteria to generate a query response. This innovative approach significantly streamlines data processing tasks.

Career Highlights

Ashrita Battepati is currently employed at Workday, Inc., where she continues to develop cutting-edge solutions in data processing. Her expertise and innovative mindset have positioned her as a valuable asset in her field.

Collaborations

Throughout her career, Ashrita has collaborated with talented professionals, including Muthukumarappa Jayakumar and Don Rudish. These collaborations have further enriched her work and contributed to the advancement of data processing technologies.

Conclusion

Ashrita Battepati is a trailblazer in the realm of data processing, with her patent showcasing her innovative spirit and technical prowess. Her contributions are paving the way for more efficient data management solutions in the industry.

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