Stanford, KY, United States of America

Marshall Todd Jarman

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Marshall Todd Jarman: Innovator in Database Performance

Introduction

Marshall Todd Jarman hails from Stanford, Kentucky, and is recognized for his contributions to the field of database technology. With a strong focus on improving database performance, Jarman has made significant strides in innovation, exemplified by his patented invention.

Latest Patents

Jarman holds a patent titled "Increasing Database Performance Through Query Aggregation." This invention encompasses a method, computer program product, and system that enables a processor to execute a new instruction, instead of a traditional left outer join instruction, resulting in enhanced database performance. The method involves creating a temporary table with null values and executing an inner join instruction to generate a preliminary results set. The final data set is created by overlaying the preliminary results on the temporary table, updating previously null values with actual data.

Career Highlights

Currently, Marshall Todd Jarman is employed at Kyndryl, Inc., where he continues to push the boundaries of technological innovation in database management. His expertise and patent underscore his commitment to enhancing system performance and redefining how data queries are processed.

Collaborations

Throughout his career, Jarman has worked alongside esteemed colleagues such as Karen Cheng and Charles Matula. Their collaboration reflects a dedicated effort to drive technological advancements within their organization and the broader tech community.

Conclusion

Marshall Todd Jarman's work in improving database performance demonstrates the power of invention in the tech industry. His patented method is a testament to his innovative spirit and dedication to optimizing data operations, paving the way for future advancements in database technologies.

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