Company Filing History:
Years Active: 2004-2010
Title: Gregory Korenevsky: Innovator in Database Technology
Introduction
Gregory Korenevsky is a notable inventor based in Manhattan Beach, CA. He has made significant contributions to the field of database technology, holding a total of 3 patents. His work focuses on improving the efficiency and performance of database systems through innovative methods and applications.
Latest Patents
One of his latest patents is titled "Restartable database loads using parallel data streams." This invention discloses a method and computer program aimed at reducing the restart time for parallel applications. The method involves setting a time interval for the next checkpoint, waiting for the interval to expire, and sending checkpoint requests to multiple parallel operators. Additionally, it includes receiving and processing messages from these operators, ensuring a streamlined process for database management.
Another significant patent is the "Method and apparatus for performing parallel data operations." This invention enables client systems to execute multi-phase parallel operations on data within a database system. Upon receiving a data transaction request, a series of multi-phase parallel tasks are executed to perform the necessary data operations, enhancing the overall efficiency of database transactions.
Career Highlights
Throughout his career, Gregory has worked with prominent companies such as NCR Corporation and Teradata US, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in database technology.
Collaborations
Gregory has collaborated with talented individuals in the field, including Alex P. Yung and Steven Feinholz. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Gregory Korenevsky's contributions to database technology through his patents and collaborations highlight his role as an influential inventor in the industry. His innovative methods continue to shape the future of database management systems.