Scalable database design for expansive near field communication

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This project aims to provide a new database design for OverAir Proximity Technologies that will improve data quality and enable more efficient querying of their data. We will investigate and develop solutions to integrate disparate data sources, resolve underlying inconsistencies, and evaluate data synchronization models, all resulting in a more accurate and consistent data instance. This will help to improve the data management and data quality process at OverAir, which in turn, will yield faster querying, scalable growth of their data stores, and improved data recovery in case of failure. By having a consistent and timely view of their data, OverAir will be better positioned to make important strategic and financial decisions based on data driven decision making.