Data integration is achieved through several methodologies, including:
Data standardization: Ensuring that data from different sources is compatible. Data warehousing: Storing large volumes of data in centralized databases. Data mining: Extracting useful information from large datasets. Data fusion: Combining multiple data sources to produce more accurate and comprehensive datasets.
