This inventor holds 8 USPTO granted patents and 3 published patent applications and 2 EPO patents. Top assignees: Informatica Corporation, Oracle International Corporation. Active years: 2017-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2017-2026
Title: Innovations of Rahul Gupta
Introduction
Rahul Gupta is an accomplished inventor based in Dublin, California. He holds a total of seven patents, showcasing his expertise in data partitioning and extraction techniques. His innovative contributions have significantly impacted the field of data management.
Latest Patents
One of his latest patents is focused on the discovery of source range partitioning information in data extract jobs. This patent describes techniques for determining partition boundary values based on various bounded value sets. The method involves calculating average values and deviation values to establish candidate partition boundary values. Another notable patent is the discovery of discrete partitioning information. This system is designed for data partitioning based on discrete values received from source systems. It determines partitioning columns and the number of partitions, ultimately leading to a final set of discrete values for effective data management.
Career Highlights
Throughout his career, Rahul Gupta has worked with prominent companies such as Informatica Corporation and Oracle International Corporation. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in data processing technologies.
Collaborations
Rahul has collaborated with notable professionals in the industry, including Richard Grondin and Gary W. Patterson. These collaborations have further enriched his work and expanded the scope of his innovations.
Conclusion
Rahul Gupta's contributions to the field of data partitioning and extraction are noteworthy. His patents reflect a deep understanding of data management techniques, and his collaborations with industry professionals highlight his commitment to innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile