Dallas, TX, United States of America

Sravan Mateti


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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4 patents (USPTO):Explore Patents

Title: Innovations by Sravan Mateti

Introduction

Sravan Mateti is an accomplished inventor based in Dallas, TX (US). He has made significant contributions to the field of technology, particularly in the transition from legacy systems to big data distributed platforms. With a total of 4 patents to his name, Mateti's work focuses on bridging architectural gaps that arise during this transition.

Latest Patents

One of Mateti's notable patents is the "View Tables Framework." This innovation addresses the architectural gaps that surface when transitioning from legacy systems to big data platforms. The framework is designed to automate processes necessary for this transition, which have become essential due to the Hadoop platform. The automated processes include a snapshot load platform that allows for the addition of new views to historical tables. This platform can replace entire tables in a truncated scenario and update cases in refresh or update scenarios. Another significant patent is the "Snapshot Load Framework," which shares similar objectives and functionalities, further enhancing the efficiency of data management during system transitions.

Career Highlights

Mateti is currently employed at Bank of America Corporation, where he applies his expertise in data management and system architecture. His work is instrumental in developing solutions that facilitate smoother transitions to modern data platforms.

Collaborations

Throughout his career, Mateti has collaborated with talented professionals such as Nadeem Panjwani and Vinod Patil. These collaborations have contributed to the successful development of innovative solutions in the field.

Conclusion

Sravan Mateti's contributions to technology through his patents and work at Bank of America Corporation highlight his role as a key innovator in the industry. His focus on bridging gaps in data architecture is paving the way for more efficient data management solutions.

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