Fremont, CA, United States of America

Frank Joseph DeRose


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 179(Granted Patents)


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: Frank Joseph DeRose: Innovator in Data Warehousing Optimization

Introduction

Frank Joseph DeRose is a notable inventor based in Fremont, California. He has made significant contributions to the field of data warehousing through his innovative patent. His work focuses on enhancing the efficiency of data extraction, transformation, and loading (ETL) processes.

Latest Patents

Frank Joseph DeRose holds a patent for a "Method and architecture for automated optimization of ETL throughput in data warehousing applications." This invention presents a computer software architecture designed to automatically optimize the throughput of the ETL process. The architecture features both a componentized aspect and a pipeline-based aspect. The componentized aspect allows for the construction of transformations using an extensible set of transformation components. This design simplifies source code maintenance and provides users with the necessary building blocks to create sophisticated transformations. The pipeline aspect ensures that each transformation component stages or streams data effectively, optimizing ETL throughput through various operations.

Career Highlights

Frank is currently employed at Informatica Corporation, where he continues to develop innovative solutions in data management. His expertise in optimizing ETL processes has positioned him as a valuable asset in the field.

Collaborations

Frank has collaborated with notable colleagues, including Sankaran Suresh and Jyotindra Pramathnath Gautam, contributing to advancements in data warehousing technologies.

Conclusion

Frank Joseph DeRose's contributions to data warehousing optimization through his innovative patent demonstrate his commitment to enhancing data management processes. His work continues to influence the industry and improve the efficiency of ETL applications.

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