Company Filing History:
Years Active: 2025
Title: Innovations of Joel Alonzo in Data Integration
Introduction
Joel Alonzo is an accomplished inventor based in Raleigh, NC (US). He has made significant contributions to the field of data integration, particularly through his innovative patent that addresses the challenges of traditional batch-based extraction, transformation, and loading (ETL) processes.
Latest Patents
Joel Alonzo holds a patent for "Automated management of scheduled executions of integration processes." This invention highlights the inadequacies of traditional ETL methods for dynamic real-time data integration. The patent discloses a system for automated, scalable, and optimized management of scheduled executions of integration processes. It features a graphical user interface that includes a timeline with a time axis, which comprises both a schedule section and a metric section. Each integration process is visually represented according to its scheduled start and end times, with overlapping processes stacked accordingly. The metric section provides a visual representation of parameters of the schedule as a function of time. This interface can recommend time frames for new integration processes and display optimized schedules for existing ones.
Career Highlights
Joel Alonzo is currently employed at Boomi, Inc., where he continues to innovate in the field of data integration. His work focuses on enhancing the efficiency and effectiveness of data management processes, making significant strides in real-time data integration solutions.
Collaborations
Throughout his career, Joel has collaborated with talented individuals such as Anil Enumulapally and Ryan Dare. These collaborations have contributed to the development of innovative solutions in the data integration space.
Conclusion
Joel Alonzo's contributions to the field of data integration through his patent and work at Boomi, Inc. demonstrate his commitment to advancing technology in this area. His innovative approach to managing integration processes is paving the way for more efficient data handling in real-time applications.