This inventor holds 2 USPTO granted patents. Top assignee: Vmware, Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Venkata Ramana: Innovator in Scalable Data Processing
Introduction
Venkata Ramana is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data processing and extraction. With a total of 2 patents to his name, his work focuses on scalable and dynamic systems that enhance data collection and processing capabilities.
Latest Patents
Venkata Ramana's latest patents include innovative methods for scalable and dynamic data collection and processing. One method involves processing events from a source by detecting an event and predicting its probability of being part of a span that includes multiple events. This method allows for the packaging of events together for handling by a single dynamic function if they occur within a predicted timeframe. If not, the events are managed by separate dynamic functions. Another method focuses on dynamic data extraction, which includes waking up a function based on a regular poll interval and determining the probability of a data change at the source based on historical data extractions. This method invokes an extraction function based on the assessed probability of data change.
Career Highlights
Venkata Ramana is currently employed at VMware, Inc., where he continues to develop innovative solutions in data processing. His expertise in scalable systems has positioned him as a valuable asset in the tech industry.
Collaborations
Some of Venkata Ramana's coworkers include Vishweshwar Palleboina and Aishwary Thakur. Their collaborative efforts contribute to the advancement of technology in their field.
Conclusion
Venkata Ramana's contributions to scalable and dynamic data processing highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of data systems and their potential for improvement.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile