Mountain View, CA, United States of America

Chris Olston

This inventor holds 5 USPTO granted patents and 1 EPO patent. Top assignees: Yahoo! Inc., Xerox Corporation. Active years: 2006-2014.


% Patents Active = 20.0


Average Co-Inventor Count = 2.5

ph-index = 4

Forward Citations = 80(Granted Patents)


Location History:

  • Los Altos, CA (US) (2006)
  • Mountain View, CA (US) (2011 - 2014)

Company Filing History:


Years Active: 2006-2014

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5 patents (USPTO):Explore Patents

Title: Chris Olston: Innovator in Data Management Technologies

Introduction

Chris Olston is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of data management, holding a total of 5 patents. His work focuses on enhancing the efficiency and effectiveness of data processing systems.

Latest Patents

Among his latest patents is a method and system for data provenance management in multi-layer systems. This innovation involves obtaining information from multiple data sources and modeling the data and metadata based on the source and granularity information. The integrated data and metadata are generated by applying processes to the data from different sources, creating a comprehensive provenance representation that traces sources and processes. Another notable patent is a method or system for spilling in query environments, which provides solutions for query processing challenges.

Career Highlights

Chris has had a distinguished career, working with notable companies such as Yahoo! Inc. and Xerox Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in data management.

Collaborations

Throughout his career, Chris has collaborated with talented individuals, including Khaled Elmeleegy and Benjamin Clay Reed. These partnerships have contributed to the advancement of his projects and innovations.

Conclusion

Chris Olston's contributions to data management technologies demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of complex data systems and a drive to improve data processing methodologies.

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