Hyderabad Telangana, India

Dinesh Reddy Parvata Reddy

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2022

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Dinesh Reddy Parvata Reddy: Innovator in Autonomous Database Defragmentation

Introduction

Dinesh Reddy Parvata Reddy is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of database management through his innovative patent. His work focuses on enhancing the efficiency of database operations, particularly in the area of defragmentation.

Latest Patents

Dinesh holds a patent for an "Autonomous Database Defragmentation." This patent discloses techniques for performing database defragmentation operations by autonomously rebuilding index objects stored in one or more tablespaces of a database. The techniques allow for online defragmentation, enabling a server system to continue servicing data access requests while performing these operations. The process involves selecting a tablespace to defragment based on its fragmentation level and rebuilding index objects to a new tablespace without fragmentation. This innovation not only improves database performance but also optimizes storage space.

Career Highlights

Dinesh Reddy Parvata Reddy is currently associated with Salesforce.com, Inc., where he applies his expertise in database technologies. His work at Salesforce has allowed him to contribute to the development of advanced database solutions that enhance user experience and operational efficiency.

Collaborations

Some of Dinesh's coworkers include Suresh Nagayanallur Subramanian and Manzoor Ahamed Sulthan. Their collaboration in the field of database management has fostered an environment of innovation and creativity.

Conclusion

Dinesh Reddy Parvata Reddy is a prominent inventor whose work in autonomous database defragmentation has the potential to revolutionize database management practices. His contributions are significant in improving the efficiency and performance of database systems.

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