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Title: Vazir Ahamed: Innovator in Data Conversion Systems
Introduction
Vazir Ahamed is a notable inventor based in Tamil Nadu, India. He has made significant contributions to the field of data conversion systems, showcasing his expertise through innovative patents. His work focuses on enhancing the efficiency and effectiveness of data management across heterogeneous systems.
Latest Patents
Vazir Ahamed holds a patent for "Coordinated Data Conversion Systems and Methods." This exemplary system includes a plurality of heterogeneous data subsystems that maintain local data. A coordinator subsystem is configured to maintain global data mapped from the local data, which includes various global data relationship views. One of the heterogeneous data subsystems initiates a data conversion of at least one local data record from an origin data schema to a target data schema. It also provides a data update message representative of the data conversion to the coordinator subsystem. The coordinator subsystem is designed to receive the data update message and asynchronously propagate the data conversion through to a subset of the global relationship views in the global data. This innovative approach significantly improves data interoperability and management.
Career Highlights
Throughout his career, Vazir Ahamed has worked with prominent companies, including Verizon Patent and Licensing Inc. and Verizon Data Services India Private Limited. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in data management and conversion.
Collaborations
Vazir has collaborated with notable professionals in his field, including Robert Long and Chi-Hwei Julie Lin. These collaborations have further enriched his work and expanded the impact of his innovations.
Conclusion
Vazir Ahamed is a distinguished inventor whose work in coordinated data conversion systems has made a significant impact in the field of data management. His innovative solutions continue to pave the way for advancements in data interoperability and efficiency.