Company Filing History:
Years Active: 2019-2022
Title: Innovations by Keith Hoyle
Introduction
Keith Hoyle is an accomplished inventor based in Montgomery, TX (US). He has made significant contributions to the field of data modeling and management, holding a total of four patents. His work focuses on improving data ingestion and performance tuning in relational database systems.
Latest Patents
Hoyle's latest patents include "Methods and apparatuses for improved data ingestion using standardized plumbing fields." This invention discloses embodiments for enhanced data modeling in a relational database management system. The method involves ingesting records into stage tables using standardized plumbing fields, which include descriptive fields such as stage table primary key field, source primary key field, and source attribute field. Additionally, it generates a data integration layer for modeling the ingested data.
Another notable patent is "Methods and apparatuses for automated performance tuning of a data modeling platform." This invention outlines a method for automated performance tuning, which includes ingesting records from data sources into stage tables and generating a data integration layer. The method also estimates anticipated performance and creates an optimized tuning template, ultimately executing a performance tuning operation automatically.
Career Highlights
Keith Hoyle is currently employed at McKesson Corporation, where he applies his expertise in data modeling and management. His innovative approaches have contributed to advancements in the efficiency and effectiveness of data handling within the organization.
Collaborations
Hoyle has collaborated with notable coworkers, including Marion A Brown and Manuel Salgado. Their combined efforts have fostered a creative environment that encourages innovation and the development of new technologies.
Conclusion
Keith Hoyle's contributions to data modeling and management through his patents demonstrate his commitment to innovation in the field. His work continues to influence the way data is ingested and managed, paving the way for future advancements.