Location History:
- Bengaluru, IN (2020 - 2021)
- Chandigarh, IN (2022)
Company Filing History:
Years Active: 2020-2022
Title: Deepak Goyal: Innovator in Distributed Systems
Introduction
Deepak Goyal is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of distributed systems, holding a total of 4 patents. His work focuses on enhancing the efficiency and reliability of data processing in complex systems.
Latest Patents
One of Deepak Goyal's latest patents is titled "Event-driven identity graph conflation." This invention describes a distributed system that includes multiple processing nodes capable of performing various acts. The system can receive a conflation event that identifies two nodes, which belong to disjoint sets. The invention allows for the conflation of these sets into a single conflated set, ensuring that data for each node is stored efficiently.
Another notable patent is "System and method for bootstrapping replicas from active partitions." This patent outlines a method for maintaining a distributed database by generating a new partition copy when a failure is detected. The system ensures that data integrity is preserved by copying the database from an existing partition to the new one, designating it as either an active or replica partition copy.
Career Highlights
Deepak Goyal has worked with several notable companies, including Walmart and Amazon Technologies. His experience in these organizations has allowed him to develop innovative solutions that address real-world challenges in data management and processing.
Collaborations
Throughout his career, Deepak has collaborated with talented professionals such as Giridhar Addepalli and Navinder Pal Singh Brar. These collaborations have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Deepak Goyal is a distinguished inventor whose work in distributed systems has led to several impactful patents. His contributions continue to shape the future of data processing technologies.