Location History:
- Lake Hiawatha, NJ (US) (2003)
- Randolph, NJ (US) (2005)
Company Filing History:
Years Active: 2003-2005
Title: Harmindar S Matharu: Innovator in Multidimensional Database Systems
Introduction
Harmindar S Matharu is a notable inventor based in Lake Hiawatha, NJ (US). He has made significant contributions to the field of multidimensional database systems, holding a total of 3 patents. His work focuses on enhancing the efficiency and performance of data management systems.
Latest Patents
One of his latest patents is titled "Configurable space-time performance trade-off in multidimensional database systems." This invention addresses the organization of data into hierarchical levels within a multi-dimensional database. It establishes predefined thresholds for each level, determining which intersections should be precomputed to optimize runtime efficiency. The technique allows for a balance between storage requirements and computation time, ensuring that the database responds effectively to user queries.
Another significant patent is "Multidimensional database system with intermediate lockable intersections." This invention introduces a hierarchical structure where selected intersections can be locked to restrict changes in aggregatable data. By limiting the scope of changes, this system enhances efficiency and maintains data integrity across various intersections.
Career Highlights
Harmindar S Matharu is currently employed at I2 Technologies Us, Inc., where he continues to innovate in the field of database systems. His expertise in multidimensional data management has positioned him as a key player in the industry.
Collaborations
He collaborates with Venugopal P Reddy, working together to advance their research and development efforts in database technologies.
Conclusion
Harmindar S Matharu's contributions to multidimensional database systems demonstrate his commitment to innovation and efficiency in data management. His patents reflect a deep understanding of the complexities involved in handling large datasets, making him a valuable asset in the field.