San Bruno, CA, United States of America

Emmett Andrew Cunningham


Average Co-Inventor Count = 4.8

ph-index = 2

Forward Citations = 19(Granted Patents)


Location History:

  • Brisbane, CA (US) (2010 - 2011)
  • San Bruno, CA (US) (2015 - 2017)

Company Filing History:


Years Active: 2010-2017

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4 patents (USPTO):Explore Patents

Title: Emmett Andrew Cunningham: Innovator in Data Querying Technologies

Introduction: Emmett Andrew Cunningham is a notable inventor based in San Bruno, CA. He has made significant contributions to the field of data querying technologies, holding a total of 4 patents. His work focuses on enhancing the efficiency and effectiveness of querying nested data structures.

Latest Patents: One of Cunningham's latest patents is titled "Enhancing queries for data tables with nested fields." This patent outlines systems and methods for enabling querying of nested or repeated structures using simple, non-nested group by queries derived from a template. In particular, it addresses the challenges posed by non-flat tables, such as those with repeated or nested structures, allowing them to be queried from a frontend interface as if they were flat. This innovation exposes data associated with the nested structures through non-nested queries, significantly improving data accessibility.

Career Highlights: Emmett Andrew Cunningham is currently employed at Google Inc., where he continues to develop and refine technologies that enhance data querying capabilities. His work has been instrumental in advancing the way complex data structures are handled in modern applications.

Collaborations: Cunningham has collaborated with notable colleagues, including Ross Koningstein and Saksiri Tanphaichitr. Their combined expertise has contributed to the successful development of innovative solutions in the field of data querying.

Conclusion: Emmett Andrew Cunningham's contributions to data querying technologies exemplify the impact of innovation in the tech industry. His patents and work at Google Inc. continue to shape the future of how data is accessed and utilized.

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