Company Filing History:
Years Active: 2004
Title: Thomas Landrum: Innovator in Event-Driven Data Transformation
Introduction: Thomas Landrum is a prominent inventor based in Austin, TX, recognized for his contributions to the field of data transformation. With one patent to his name, Landrum has made significant strides in creating systems that enhance the efficiency and adaptability of data handling processes.
Latest Patents: Landrum's innovative patent, titled "Modeless event-driven data transformation," presents a comprehensive system and method for event-driven data transformation. This invention outlines a transformation engine that effectively iterates through various data sources, transforming incoming data and storing the results in multiple data targets. The system is designed to execute specific event actions triggered by defined events, allowing for flexible and tailored data transformations. Furthermore, it supports one-to-one, many-to-one, one-to-many, and many-to-many mappings, accommodating both hierarchical and flat data structures.
Career Highlights: Thomas Landrum has made a mark in the tech industry through his role at Pervasive Software Inc., where he has harnessed his expertise in data systems. His work focuses on enhancing data management processes, providing solutions that are not only effective but also cost-efficient compared to traditional customization approaches.
Collaborations: Throughout his career, Landrum has collaborated with notable colleagues such as Paul C. Dingman and Kathryn E. Van Dyken. These partnerships have sparked innovative ideas and enabled the development of advanced data transformation technologies.
Conclusion: With a commitment to innovation, Thomas Landrum continues to pave the way for advancements in event-driven data transformation. His patent highlights his ability to address complex challenges in data management, and his collaborative spirit fosters a thriving environment for technological progress. As he further develops his work at Pervasive Software Inc., Landrum remains a key figure in the evolution of data processing solutions.