Company Filing History:
Years Active: 2005-2014
Title: The Innovations of Steven M. Berman
Introduction
Steven M. Berman is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of data management and backup systems. With a total of 7 patents to his name, Berman's work has had a considerable impact on how data is handled and restored in modern computing environments.
Latest Patents
Berman's latest patents include innovative methods for using a metadata image of a file system and archive instance to restore and backup data objects. One of his patents focuses on restoring data objects in a file system by utilizing a metadata image that captures the state of files and directories at a specific point in time. This method allows for efficient restoration of files, even those stored off-line, by creating file representations that link to external identifiers in a backup database. Another patent addresses the backup process itself, detailing how a point-in-time backup can be performed and how metadata images and archive instances are generated to ensure data integrity and accessibility.
Career Highlights
Steven M. Berman is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM has allowed him to work on cutting-edge technologies that enhance data management solutions. Berman's expertise in this area has positioned him as a key figure in the development of innovative data restoration and backup techniques.
Collaborations
Throughout his career, Berman has collaborated with talented individuals such as Wayne A. Sawdon and Dominic Mueller-Wicke. These collaborations have contributed to the advancement of his projects and the successful implementation of his patented technologies.
Conclusion
Steven M. Berman's contributions to data management through his patents and work at IBM highlight his importance as an inventor in the technology sector. His innovative approaches to data restoration and backup continue to influence the industry and improve data handling practices.