Raleigh, NC, United States of America

Jay Robert Camp

This inventor holds 1 USPTO granted patent. Top assignee: Cisco Technology, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jay Robert Camp. Retrieved from https://idiyas.com/inventor/jay-robert-camp

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jay Robert Camp: Innovator in Metric Time Series Data Storage

Introduction

Jay Robert Camp is an accomplished inventor based in Raleigh, NC (US). He has made significant contributions to the field of data storage and analytics, particularly through his innovative patent related to metric time series data.

Latest Patents

Jay Robert Camp holds a patent titled "Full fidelity storage of metric time series data." This patent describes techniques for aggregating metric time series data upon ingestion, which can enhance the efficiency of data processing. The disclosed techniques transform metric time series data into aggregated forms, optionally reducing complexity or dimensionality while retaining essential statistical information. This aggregated data can be utilized similarly to the original source data for various applications, including streaming analytics and event triggering.

Career Highlights

Jay Robert Camp is currently employed at Cisco Technology, Inc., where he applies his expertise in data storage and analytics. His work focuses on developing innovative solutions that improve data management and processing capabilities.

Collaborations

Some of his notable coworkers include Bogdan Cristian Drutu and Mahdi Ben Hamida, who contribute to the collaborative environment at Cisco Technology, Inc.

Conclusion

Jay Robert Camp's contributions to the field of metric time series data storage exemplify his innovative spirit and dedication to advancing data analytics. His patent reflects a significant step forward in how data can be aggregated and utilized effectively.

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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