Washington, DC, United States of America

Jourdan Miller


Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Jourdan Miller: Innovating Backup Solutions in Database Management

Introduction: Jourdan Miller, a skilled inventor based in Washington, DC, has made notable contributions to the field of database management through his innovative solutions. With a focus on enhancing backup and restoration processes, his work addresses essential needs in the digital age.

Latest Patents: Jourdan holds a patent for "Approaches for Backup and Restoration of Integrated Databases." This invention provides systems and methods to efficiently determine user requests for backups of applications within computing systems. By utilizing unique identifiers for backup and applications, the patent describes a process of gathering necessary information for performing backups, including specifying endpoints for data storage. This innovation not only streamlines backup operations but also enhances data protection for users.

Career Highlights: Currently, Jourdan is employed at Palantir Technologies Inc., a company renowned for its cutting-edge data analytics and software solutions. His work at Palantir allows him to leverage his expertise in database management and contribute to developing innovative tools that meet contemporary challenges.

Collaborations: Throughout his career, Jourdan has collaborated with talented individuals, including Kolin Purcell and Alexander Neronskiy. These partnerships exemplify his commitment to teamwork and the mutual pursuit of excellence in innovation.

Conclusion: Jourdan Miller's contributions to the field of database management, particularly through his patented approach to backup and restoration, underscore the importance of innovative solutions in today's technology landscape. His work at Palantir Technologies Inc. and collaborations with peers highlight his dedication to advancing the efficiency and reliability of data management systems.

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