Sunnyvale, CA, United States of America

Amit Sethiya

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovator Amit Sethiya and His Contributions to Data Flow Design

Introduction

Amit Sethiya is a notable inventor based in Sunnyvale, California. He has made significant contributions to the field of data flow design, particularly through his innovative patent. His work focuses on creating systems that enhance the efficiency and adaptability of data processing.

Latest Patents

Amit Sethiya holds a patent for a "Data flow design with static and dynamic elements." This patent presents a data flow design system that supports both static and dynamic elements. The system provides a graphical tool for users to design data flows that leverage the repeatability of static elements and the adaptability of dynamic elements. Static elements process data that typically do not change over time, while dynamic elements handle data that does change. For example, when new data fields are added to an input data source, the dynamic elements automatically link these new fields to mapping fragments of the data flow. Mapping fragments process data based on configuration parameters, including expression and filter rules. Users can utilize the design environment's user interface to view and add mapping fragments, static links, and dynamic links to the data flow.

Career Highlights

Amit Sethiya is currently employed at Informatica Corporation, where he continues to develop innovative solutions in data management. His work has been instrumental in advancing the capabilities of data flow design systems.

Collaborations

Amit collaborates with talented individuals such as Jedidiah J D Chow and Kathleen L Gannon, contributing to a dynamic work environment that fosters innovation.

Conclusion

Amit Sethiya's contributions to data flow design exemplify the importance of innovation in technology. His patent reflects a deep understanding of both static and dynamic data processing, paving the way for more efficient data management solutions.

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