Carrboro, NC, United States of America

Anil Peres-da-Silva

This inventor holds 1 USPTO granted patent. Top assignee: Teradata US, Inc.. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anil Peres-da-Silva. Retrieved from https://idiyas.com/inventor/anil-peres-da-silva

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Anil Peres-da-Silva: Innovator in Data Synchronization Techniques

Introduction

Anil Peres-da-Silva is a notable inventor based in Carrboro, NC (US). He has made significant contributions to the field of data synchronization, particularly through his innovative patent. His work focuses on enhancing the efficiency of data management systems.

Latest Patents

Anil holds a patent titled "Techniques for synchronizing data store tables." This patent presents methods for synchronizing data store tables by linking elements of first tables to form dependent chains. Notably, the dependencies are stored in multiple second tables, which map elements from one first table to another. This approach optimizes data synchronization processes.

Career Highlights

Anil is currently employed at Teradata US, Inc., where he applies his expertise in data management and synchronization. His work at Teradata has allowed him to contribute to advancements in data storage and retrieval systems.

Collaborations

Anil has collaborated with notable colleagues, including Dennis Tackett and Anish Shah. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Anil Peres-da-Silva is a distinguished inventor whose work in data synchronization techniques has made a significant impact in the field. His innovative approaches continue to influence data management practices today.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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