In data mining, data integration means bringing together disparate datasets for analysis. As part of this process, it may be necessary to clean and transform the data and resolve any inconsistencies or conflicts among the various data sources. Integrating data enhances its value for further analysis and decisionmaking. Data warehouses, extracttransformload procedures, and data federation are all examples of methods used in data integration. Data integration is a preprocessing method that unifies disparate data sets from various sources into a unified database. Data cubes, databases, and flat files are examples of what could be used here.
