Company Filing History:
Years Active: 2018
Title: Russell Tempero: Innovator in Automatic Data Translation
Introduction
Russell Tempero is an accomplished inventor based in Bozeman, MT (US). He has made significant contributions to the field of computing systems, particularly in the area of data management and translation. His innovative approach has led to the development of a unique patent that addresses the challenges of data format compatibility.
Latest Patents
Russell Tempero holds a patent for "Efficient storage using automatic data translation." This patent discloses techniques for automatic data translation in computing systems. The invention enables applications to utilize data in optimal formats specific to each application in an effectively transparent manner. This innovation removes the burden of performing data format or type checking and conversions. The automatic data translation module (ADTM) is implemented to automatically translate data as it passes between applications. In some embodiments, the ADTM receives data in a specific format from one application and converts it into another representation for a recipient application. The ADTM can also translate textual versions of IP addresses into binary representations for efficient database storage.
Career Highlights
Russell Tempero is currently employed at Oracle International Corporation, where he continues to work on advancements in data management technologies. His expertise in automatic data translation has positioned him as a valuable asset to the company.
Collaborations
Throughout his career, Russell has collaborated with notable colleagues, including Jennifer Pinczes and Robert Lyle Wall. These partnerships have fostered an environment of innovation and creativity, leading to the development of impactful technologies.
Conclusion
Russell Tempero's contributions to the field of automatic data translation exemplify his commitment to innovation in computing systems. His patent reflects a significant advancement in how data is managed and utilized across applications. His work continues to influence the industry and pave the way for future developments in data technology.