Ram Dayal Goyal

Title: Innovations by Ram Dayal Goyal

Introduction

Ram Dayal Goyal is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data management and machine learning. With a total of 7 patents to his name, Goyal has developed innovative methods that enhance the determination of relationships among data sets.

Latest Patents

One of his latest patents is titled "Primary key-foreign key relationship determination through machine learning." This invention outlines a system and method for determining relationships among data sets by selecting data from two tables and forming an inclusion dependency pair. The method involves determining a resultant of the inclusion dependency pair and establishing a primary key-foreign key relationship based on this resultant.

Another notable patent is "Inclusion dependency determination in a large database for establishing primary key-foreign key relationships." This invention provides a method and system for determining inclusion dependency between columns of tables in a target database. It aims to establish primary key and foreign key relationships while minimizing disk input and output operations. The system determines dependency characteristic data of each column and identifies candidate primary and foreign keys through dynamically determined search techniques.

Career Highlights

Ram Dayal Goyal has worked with several companies, including Ketera Technologies, Inc. and Io-Tahoe LLC. His experience in these organizations has allowed him to refine his skills and contribute to various innovative projects.

Collaborations

Throughout his career, Goyal has collaborated with notable professionals such as Yongming Xu and Rohit Mahajan. These collaborations have further enriched his work and expanded his impact in the field of data management.

Conclusion

Ram Dayal Goyal is a distinguished inventor whose work in machine learning and data management has led to significant advancements in the industry. His innovative patents reflect his expertise and commitment to enhancing data relationships.