Dublin, Ireland

Balazs Pete

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Balazs Pete: Innovator in Data Processing

Introduction

Balazs Pete is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of data processing, particularly in the area of hierarchical data models. His innovative approach has led to the development of a unique patent that enhances the way data is analyzed and visualized.

Latest Patents

Balazs Pete holds a patent titled "Analytic insights for hierarchies." This patent pertains to processing a data model that contains hierarchical data. The invention involves a front-end computer that sends requests to a back-end computer for dimension candidates related to the data model. The front-end computer is designed to score and rank these dimension candidates to derive statistics from the data model. The back-end computer determines the dimension candidates based on their cardinality and hierarchical information, subsequently sending them to the front-end computer. The front-end computer then performs the scoring and ranking of these candidates and presents the statistics to users through charts and graphs that represent the data model.

Career Highlights

Balazs Pete is currently employed at Business Objects Software Limited, where he continues to innovate in the field of data processing. His work has been instrumental in advancing the capabilities of data analysis tools, making them more efficient and user-friendly.

Collaborations

Throughout his career, Balazs has collaborated with talented individuals such as Andong Wang and Jung-Rung Han. These collaborations have contributed to the development of innovative solutions in data processing.

Conclusion

Balazs Pete is a distinguished inventor whose work in data processing has led to significant advancements in the field. His patent on analytic insights for hierarchies showcases his ability to enhance data visualization and analysis.

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