Company Filing History:
Years Active: 2022-2026
Title: Yuda Dai - Innovator in Data Catalog Systems
Introduction
Yuda Dai is a prominent inventor based in Mountain View, CA. He has made significant contributions to the field of data management and cataloging. With a total of 3 patents, his work focuses on enhancing the efficiency and effectiveness of data retrieval and organization.
Latest Patents
Yuda Dai's latest patents include innovative systems for generating external identifiers for data entities using a data catalog system. This system provides capabilities for uniquely identifying and retrieving data entities stored in diverse data sources managed by an organization. The data catalog system generates unique external identifiers for data assets by identifying immutable configuration parameters and data object attributes. These identifiers are crucial for enforcing a single representation of data assets and performing data lookups during the metadata harvesting process.
Another notable patent involves techniques for utilizing patterns and logical entities to maintain relationships between data assets. This system allows users to define patterns for assessing commonality among data assets, generating logical entities that represent sets of data assets sharing common traits. This innovative approach enhances the organization and accessibility of data.
Career Highlights
Yuda Dai is currently employed at Oracle International Corporation, where he continues to develop cutting-edge solutions in data management. His expertise in data catalog systems has positioned him as a key player in the industry.
Collaborations
Yuda has collaborated with notable colleagues, including Ganesh Seetharaman and Robert Costin Velisar. These collaborations have further enriched his work and contributed to the advancement of data management technologies.
Conclusion
Yuda Dai's contributions to data catalog systems and his innovative patents reflect his commitment to improving data management practices. His work continues to influence the field and drive advancements in how organizations handle data.