Beaverton, OR, United States of America

Greg Passmore


Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • Portland, OR (US) (2011)
  • Beaverton, OR (US) (2014)

Company Filing History:


Years Active: 2011-2014

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2 patents (USPTO):Explore Patents

Title: Greg Passmore: Innovator in Database Query Optimization

Introduction

Greg Passmore is a notable inventor based in Beaverton, OR (US). He has made significant contributions to the field of database query optimization, holding two patents that enhance the efficiency of database queries.

Latest Patents

Greg's latest patents focus on multi-query optimization methods for database queries that include predicates. These queries are directed to at least one database table containing data organized in rows and columns. The optimization method involves associating a lineage bit set with each row of the database table. This lineage bit set provides a binary predicate state indication of whether each predicate is met or not met by the data in the row. Additionally, a dependency bit set is established to indicate the predicates included in each query. The queries are applied against the database table through a logical operation between the lineage bit set and the dependency bit set. This innovative data structure significantly improves the efficiency of database query processing.

Career Highlights

Throughout his career, Greg has worked with prominent companies such as Pivotal, Inc. and VMware, Inc. His experience in these organizations has contributed to his expertise in database technologies and optimization techniques.

Collaborations

Greg has collaborated with various professionals in the field, including his coworker Russell Okamoto. Their joint efforts have further advanced the development of innovative solutions in database management.

Conclusion

Greg Passmore's work in database query optimization showcases his innovative spirit and technical expertise. His contributions have the potential to significantly enhance the efficiency of database systems.

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