Sydney, Australia

James C Mackie

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Atlassian Corporation Pty Ltd., Atlassian Inc.. Active years: 2023.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: James C Mackie: Innovator in Data Observability

Introduction

James C Mackie is a notable inventor based in Sydney, Australia. He has made significant contributions to the field of data observability through his innovative patent. His work focuses on improving mechanisms for managing event-structured observability data in federated networks and database platforms.

Latest Patents

James C Mackie holds a patent titled "Apparatuses, methods, and computer program products for improved structured event-based data observability." This patent provides advanced data observability mechanisms that enhance the analysis of data-driven errors. The embodiments of this patent enable the storage of associated data for observability processing actions and user analysis. Specifically, the mechanisms are designed to receive data streams representing operational engagement of event-structured services. They generate observability data from these streams using an event processing pipeline and store the data in repositories within the federated network.

Career Highlights

Throughout his career, James has worked with prominent companies, including Atlassian Corporation Pty Ltd. and Atlassian Inc. His experience in these organizations has contributed to his expertise in data observability and event-driven systems.

Collaborations

James has collaborated with talented individuals such as Andrei Beliaev and Anton Polyakov. These partnerships have likely enriched his work and led to innovative solutions in the field.

Conclusion

James C Mackie is a distinguished inventor whose work in data observability has the potential to transform how organizations manage and analyze event-structured data. His contributions are significant in advancing the field and improving data-driven decision-making processes.

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