Cary, NC, United States of America

Edward Tilden Blair

USPTO Granted Patents = 9 

Average Co-Inventor Count = 6.0

ph-index = 7

Forward Citations = 124(Granted Patents)


Company Filing History:


Years Active: 2015-2020

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: Edward Tilden Blair: Innovator in Cloud-Based Time Series Analysis

Introduction

Edward Tilden Blair is a notable inventor based in Cary, NC (US). He has made significant contributions to the field of technology, particularly in scalable cloud-based time series analysis. With a total of nine patents to his name, Blair has established himself as a key figure in innovation.

Latest Patents

One of Blair's latest patents focuses on scalable cloud-based time series analysis. In this invention, computing devices can partition timestamped data into groups. The devices then distribute the timestamped data based on these groups. Additionally, the devices can obtain copies of a script configured to process the timestamped data, ensuring that each device receives a copy. The computing devices determine one or more code segments associated with the groups based on the content of the script. These code segments can be in programming languages different from that of the script. Finally, the devices run the copies of the script to process the timestamped data within the groups, which may involve interacting with job servers configured to execute the code segments.

Career Highlights

Blair's career is marked by his innovative work at SAS Institute Inc., where he has contributed to various projects and advancements in technology. His expertise in cloud computing and data analysis has positioned him as a leader in his field.

Collaborations

Throughout his career, Blair has collaborated with talented individuals such as Michael James Leonard and Jerzy Michal Brzezicki. These collaborations have further enhanced his work and contributed to the success of his inventions.

Conclusion

Edward Tilden Blair is a prominent inventor whose work in scalable cloud-based time series analysis has made a significant impact in the technology sector. His contributions continue to influence advancements in data processing and cloud computing.

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