Data Synchronization

Data Synchronization is the process of ensuring that data is consistent and up-to-date across multiple systems or devices. In the context of Data Science and Artificial Intelligence, data synchronization is crucial for ensuring that the data used for analysis and modeling is accurate and consistent. This involves identifying and resolving any discrepancies or conflicts that may arise when data is updated or modified in one system but not in others. Data synchronization can be achieved through various methods such as replication, mirroring, or real-time data integration. It is an important aspect of data management and is essential for ensuring the reliability and accuracy of data-driven decision making.
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