This inventor holds 1 USPTO granted patent. Top assignee: Yahoo! Inc.. Active years: 2016.
Company Filing History:
Years Active: 2016
Title: Innovations of Ravi Sankuratri in Data Storage Solutions.
Introduction
Ravi Sankuratri is an accomplished inventor based in Karnataka, India. He has made significant contributions to the field of data storage, particularly in the context of off-grid solutions. His innovative approach has led to the development of a unique patent that addresses the challenges of data management in distributed systems.
Latest Patents
Ravi holds a patent for a method of writing data from Hadoop to off-grid storage. In one embodiment, data generated via a map process and/or reduce process may be obtained. A request message may be sent to a server, where the request message indicates a request for a location in storage at which the data is to be stored. Upon receiving the location from the server, the data may be copied to the location in the storage. A commit message may be sent to the server, where the commit message indicates that the data has been copied to the location. In addition, the data may be deleted. This patent showcases his ability to innovate in the realm of data processing and storage.
Career Highlights
Ravi is currently employed at Yahoo! Inc., where he continues to work on cutting-edge technologies. His role involves collaborating with other experts in the field to enhance data storage solutions. His experience and expertise have made him a valuable asset to his team.
Collaborations
Ravi has worked closely with his coworker, Michael Natkovich, to develop and refine innovative data storage techniques. Their collaboration has led to advancements that benefit their organization and the broader tech community.
Conclusion
Ravi Sankuratri's contributions to data storage technology exemplify the spirit of innovation. His patent for writing data from Hadoop to off-grid storage is a testament to his expertise and creativity in the field. Through his work at Yahoo! Inc., he continues to push the boundaries of what is possible in data management.
