Company Filing History:
Years Active: 2017-2021
Title: Michael A Gibas: Innovator in Data Storage Solutions
Introduction
Michael A Gibas is a notable inventor based in Torrance, CA (US). He has made significant contributions to the field of data storage systems, holding 2 patents that showcase his innovative approach to solving complex data management challenges.
Latest Patents
One of his latest patents is titled "Join index bitmap for non-equality query conditions." This invention describes a data store system that includes an array of persistent storage devices designed to store multiple data store tables. The system features a processor that communicates with the storage device, receiving queries that contain non-equality join conditions. The processor generates a bitmap that indicates matches between columns in accordance with the specified conditions, enhancing the efficiency of data retrieval.
Another significant patent by Gibas is "Histogram generation on multiple dimensions." This patent outlines a method where a processor identifies a multi-dimensional dataset and sorts it based on the values of each dimension. The processor partitions the dataset into intervals, determining boundary values and the number of rows for each interval. This innovative approach allows for effective histogram generation, which is crucial for data analysis.
Career Highlights
Michael A Gibas is currently employed at Teradata US, Inc., where he continues to develop cutting-edge solutions in data storage and management. His work has had a profound impact on how data is processed and analyzed in various applications.
Collaborations
Throughout his career, Gibas has collaborated with talented individuals such as Hien T To and Grace K Au. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Michael A Gibas stands out as an influential inventor in the realm of data storage solutions. His patents reflect a deep understanding of data management and a commitment to innovation. His contributions continue to shape the future of data processing technologies.