Company Filing History:
Years Active: 2013-2014
Title: The Innovative Contributions of Erik James Omberg
Introduction
Erik James Omberg is a notable inventor based in Maple Grove, MN (US). He has made significant contributions to the field of data management and storage through his innovative inventions. With a total of 2 patents, Omberg has developed systems that enhance the efficiency and reliability of data handling.
Latest Patents
One of his latest patents is titled "System and method for creating a de-duplicated data set." This invention focuses on creating a non-redundant data set from multiple data sources. The system operates by generating unique hash keys for distinct data files, compiling these keys along with relevant information, and de-duplicating the hash keys to retrieve and store the corresponding data files. This method can function independently or in conjunction with existing de-duplicating systems, ensuring that data redundancy is minimized.
Another significant patent is the "Method and system for restoring information from backup storage media." This invention allows for the reading of first and second partial files from different storage media, regardless of the original writing sequence. By combining these partial files, the complete file can be extracted without the need to re-read the storage media, thus streamlining the restoration process.
Career Highlights
Erik Omberg is currently associated with Renew Data Corp., where he continues to innovate in the field of data management. His work focuses on developing advanced systems that improve data integrity and accessibility.
Collaborations
Throughout his career, Omberg has collaborated with notable colleagues, including Christopher Kent Pratt and Kenneth C Pendlebury. These partnerships have contributed to the advancement of his inventions and the overall success of their projects.
Conclusion
Erik James Omberg's contributions to data management through his innovative patents demonstrate his commitment to enhancing technology in this field. His work not only addresses current challenges but also paves the way for future advancements in data handling.