Scalable database design for expansive near field communication

该项目旨在为OverAir Proximity Technologies提供一种新的数据库设计，以提高数据质量并实现更有效的数据查询。我们将研究和开发解决方案，以集成不同的数据源，解决潜在的不一致性，并评估数据同步模型，所有这些都将导致更准确和一致的数据实例。这将有助于改善OverAir的数据管理和数据质量流程，从而实现更快的查询、数据存储的可扩展增长，并在故障情况下改善数据恢复。通过对数据进行一致和及时的查看，OverAir将更好地基于数据驱动的决策制定重要的战略和财务决策。

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.