Company Filing History:
Years Active: 2010
Title: Ilker Cengiz: Innovator in Data Mapping Technologies
Introduction
Ilker Cengiz is a notable inventor based in Redmond, WA (US), recognized for his contributions to data mapping technologies. He holds 2 patents that showcase his innovative approach to handling data across various domains. His work primarily focuses on creating systems that facilitate seamless data integration without altering the underlying data structures.
Latest Patents
Cengiz's latest patents include a groundbreaking invention titled "Mapping architecture for arbitrary data models." This patent describes a data mapping architecture that allows for the mapping between multiple data sources without the need to modify their metadata or structure. The architecture supports updates and is designed to work with predefined schemas that cannot be altered. Another significant patent is "System and method of providing and utilizing an object schema to facilitate mapping between disparate domains." This invention introduces a system that utilizes an object schema to enhance data object persistence, providing additional metadata for types beyond what is available from the underlying programming language. This innovation allows for the independent deployment of the object schema, enabling changes in persistence storage without requiring recompilation of application code.
Career Highlights
Ilker Cengiz is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work at Microsoft has positioned him as a key player in the field of data mapping and integration technologies.
Collaborations
Cengiz collaborates with talented individuals such as Luca Bolognese and Andrew Conrad, contributing to a dynamic environment that fosters innovation and creativity.
Conclusion
Ilker Cengiz's contributions to data mapping technologies reflect his commitment to advancing the field through innovative solutions. His patents not only demonstrate his expertise but also pave the way for future developments in data integration.