Company Filing History:
Years Active: 2013-2015
Title: Paul Herman Dyke: Innovator in Parallel Database Systems
Introduction
Paul Herman Dyke is a notable inventor based in Mission Viejo, CA (US). He has made significant contributions to the field of database technology, particularly in the area of parallel database systems. With a total of 3 patents to his name, Dyke's work has had a substantial impact on data management and fault tolerance in computing environments.
Latest Patents
Dyke's latest patents include innovative solutions for database backup and fault tolerance. One of his key inventions is a method for parallel database backup and restore. This technology allows for the simultaneous backing up of data from multiple locations to a single location, enhancing efficiency and reliability. The system generates multiple backup commands tailored for each data location, executing them in parallel to ensure that all data is securely backed up.
Another significant patent focuses on establishing a fault-tolerant parallel database system. This invention involves creating a control node cluster with active and spare nodes to detect failures and maintain system integrity. By instantiating spare nodes to take over the functions of failed active nodes, Dyke's system ensures continuous operation and reliability in database services.
Career Highlights
Paul Dyke is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate in the field of database technology. His work has been instrumental in advancing the capabilities of parallel databases, making them more robust and efficient for various applications.
Collaborations
Dyke has collaborated with notable colleagues such as Jeffrey Ronald Habermann and Anthony C Liberto. These partnerships have contributed to the development of cutting-edge technologies in the realm of data management.
Conclusion
Paul Herman Dyke's contributions to parallel database systems exemplify his innovative spirit and technical expertise. His patents reflect a commitment to enhancing data management practices, ensuring that systems are both efficient and fault-tolerant.