Madison, WI, United States of America

Kameswara Venkatesh Emani

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations by Kameswara Venkatesh Emani

Introduction

Kameswara Venkatesh Emani is an accomplished inventor based in Madison, WI (US). He has made significant contributions to the field of data processing, holding two patents that showcase his innovative approach to scalable data operations. His work is instrumental in enhancing the efficiency of data processing systems.

Latest Patents

Kameswara's latest patents include a system and method for scalable data processing operations. This invention describes systems, methods, and devices for performing scalable data processing operations. It involves maintaining a queue that includes a translatable portion, which comprises indications of data processing operations that can be translated into data queries, and a non-translatable portion, which includes indications of non-translatable data processing operations. The system determines whether a data processing operation is translatable to a database query and compiles the translatable portion into a database query when necessary. The execution of this query is then managed by a database engine to generate a result dataset, which is transmitted to an application for analysis.

Career Highlights

Kameswara is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data processing. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

Kameswara has collaborated with notable colleagues such as Avrilia Floratou and Carlo Aldo Curino. Their combined efforts contribute to the advancement of technology and innovation within their field.

Conclusion

Kameswara Venkatesh Emani's work exemplifies the spirit of innovation in data processing. His patents reflect a deep understanding of scalable operations, making significant strides in the efficiency of data management systems.

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