Company Filing History:
Years Active: 2019-2024
Title: Innovations of Subhradyuti Sarkar
Introduction
Subhradyuti Sarkar is a notable inventor based in Fremont, California. He has made significant contributions to the field of database management systems, holding three patents to his name. His work primarily focuses on enhancing the efficiency and performance of in-memory databases.
Latest Patents
One of Subhradyuti Sarkar's latest patents is titled "Combined row and columnar storage for in-memory databases for OLTP and analytics workloads." This innovation allows for the storage of table columns in either row-major or column-major format within an in-memory database management system. By utilizing a dual-major format, updates to rows can be made directly to column-major columns without the need for an interim row-major form. This approach streamlines database operations and improves performance.
Another significant patent is "Column domain dictionary compression." In this invention, column values across multiple columns are tokenized using a single dictionary. The dictionary not only maps tokens to their corresponding values but also tracks the count of occurrences for each token. This information can be leveraged to optimize query computations on the base table, enhancing overall database efficiency.
Career Highlights
Subhradyuti Sarkar is currently employed at Oracle International Corporation, where he continues to innovate in the field of database technologies. His work at Oracle has positioned him as a key contributor to advancements in database management systems.
Collaborations
Throughout his career, Subhradyuti has collaborated with talented individuals such as Tirthankar Lahiri and Kirk Meredith Edson. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Subhradyuti Sarkar's contributions to database management systems through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the field and improve the efficiency of data handling in modern applications.