This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Keshav Bhashyam: Innovator in Data Lake Observability Metrics
Introduction
Keshav Bhashyam is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data analytics, particularly in the area of data lake observability. His innovative approach addresses complex challenges in analyzing data usage across various computation points.
Latest Patents
Keshav holds a patent for "Generating observability metrics for data lake usage based on data layer activity logs." This patent focuses on gathering and analyzing incoming data requests from the perspective of the data lake. By doing so, it circumvents the technical difficulties associated with tracking data usage across different locations and operations. The invention also tackles the challenge of mapping between object paths and table paths by generating datasets at various levels of abstraction. The process involves iterative comparisons that progressively increase granularity, ultimately leading to the generation of observability metrics. These metrics are crucial for downstream operations, such as controlling data table access and decommissioning unused pipelines.
Career Highlights
Keshav is currently employed at Intuit, Inc., where he continues to develop innovative solutions in data analytics. His work has been instrumental in enhancing the efficiency and effectiveness of data management practices within the organization.
Collaborations
Keshav collaborates with talented professionals such as Sreenivasulu Nallapati and Vijaykumar Hiremath. Their combined expertise contributes to the advancement of innovative solutions in their field.
Conclusion
Keshav Bhashyam is a pioneering inventor whose work in data lake observability metrics is shaping the future of data analytics. His contributions are vital for improving data management practices and enhancing operational efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile