Company Filing History:
Years Active: 2020-2024
Title: Byron Jason Shelden: Innovator in Low-Latency Streaming Analytics
Introduction
Byron Jason Shelden is a notable inventor based in Coquitlam, Canada. He has made significant contributions to the field of data stream monitoring, holding a total of 4 patents. His work focuses on enhancing the efficiency and effectiveness of data analytics systems.
Latest Patents
One of Byron's latest patents involves low-latency streaming analytics. This patent discloses systems and methods for implementing a low-latency data stream monitoring system. The system is designed to obtain raw data from a data source immediately after it is generated. It classifies the data according to various topics, which are then published in a publish-subscribe messaging model. Data enrichment systems subscribe to these topics to receive data for further enhancement. These systems can supplement or replace the raw data with additional information and may reclassify the enriched data into different topics. The enriched data is subsequently published to an alert generation system, which applies various criteria to determine if alerts should be generated. The alerts are then published or transmitted to client devices. The system is flexible, allowing for the addition, removal, or modification of individual data streams, topics, enrichments, criteria, and alarms as needed.
Career Highlights
Byron has worked with notable companies such as Splunk Inc. and Splunk. His experience in these organizations has contributed to his expertise in data analytics and stream monitoring technologies.
Collaborations
Throughout his career, Byron has collaborated with talented individuals, including Alexander William Cruise and Claire Alexandria Tanner Semple. These collaborations have likely enriched his work and contributed to his innovative projects.
Conclusion
Byron Jason Shelden is a prominent figure in the realm of low-latency streaming analytics, with a focus on improving data monitoring systems. His contributions and collaborations continue to influence the field of data analytics.