San Jose, CA, United States of America

Phillip Koza

USPTO Granted Patents = 9 

Average Co-Inventor Count = 1.5

ph-index = 3

Forward Citations = 103(Granted Patents)


Company Filing History:


Years Active: 2015-2021

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9 patents (USPTO):

Title: The Innovations of Phillip Koza

Introduction

Phillip Koza is a notable inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in data management and processing. With a total of 9 patents to his name, Koza's work has had a substantial impact on how data is handled in various applications.

Latest Patents

Among his latest patents is the "Log reader and parser sharing determination in a change data capture environment." This invention focuses on optimizing the use of transaction log files by enabling multiple data consumers to share log readers and parsers efficiently. It involves obtaining log record identifiers, identifying respective log positions, and calculating resource costs for sharing. Another significant patent is "Replicating database updates with batching." This method enhances the efficiency of updating target tables by determining subsets of columns that need to be updated, thereby achieving better batching percentages in update statements.

Career Highlights

Phillip Koza is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work at IBM has allowed him to collaborate with some of the brightest minds in the industry, contributing to advancements in data processing and management.

Collaborations

Some of his notable coworkers include James D Spyker and Mohamed M Ahmed. Their collaborative efforts have further enriched the projects they have worked on together, leading to innovative solutions in their respective fields.

Conclusion

Phillip Koza's contributions to technology through his patents and work at IBM highlight his role as a leading inventor in data management. His innovative solutions continue to shape the future of data processing.

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