Company Filing History:
Years Active: 2022-2025
Title: Heshang Majmudar: Innovator in Data Management Systems
Introduction
Heshang Majmudar is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of data management systems, holding a total of 5 patents. His work focuses on automating replication tasks and enhancing metadata synchronization across systems.
Latest Patents
One of Heshang's latest patents is titled "Automated performing of replication tasks in a multiple database system." This invention describes various embodiments for a data management system that manages inferences. The system operates by detecting a signal to perform a replication task, identifying parameters corresponding to the task, and configuring the replication to partially replicate a source data table to a target data table. The execution of the replication task is contingent upon matching the columnar structures of the source and target tables, which may involve performing arithmetic operations on the data.
Another notable patent is "Metadata synchronization for cross system data curation." This method involves receiving a packet containing metadata corresponding to a data schema of a source system. The system detects changes in the data schema based on checksums and sends the updated metadata to a target system. This enables the target system to perform various tasks, including reporting, visualization, advanced analytics, and machine learning.
Career Highlights
Heshang Majmudar is currently employed at SAP SE, where he continues to innovate in the realm of data management. His expertise in automating complex processes has positioned him as a valuable asset in his field.
Collaborations
Heshang has collaborated with notable colleagues, including Vengateswaran Chandrasekaran and Venkatesh Iyengar. Their combined efforts contribute to the advancement of data management technologies.
Conclusion
Heshang Majmudar's work in data management systems exemplifies innovation and technical expertise. His patents reflect a commitment to improving data processes and enhancing system efficiencies.