Data Warehousing Questions Medium
Data mining refers to the process of extracting useful patterns, insights, and knowledge from large datasets. It involves analyzing and discovering hidden patterns, correlations, and relationships within the data to make informed business decisions.
Data mining is closely related to data warehousing as it relies on the availability of a well-structured and integrated data warehouse. A data warehouse is a central repository that stores large amounts of data from various sources in a consistent and organized manner. It provides a unified view of the data, making it easier for data mining techniques to be applied.
Data mining techniques can be used on the data stored in a data warehouse to uncover valuable information and trends. By leveraging the data warehouse's comprehensive and historical data, data mining can identify patterns, predict future trends, and provide insights that can drive business strategies and decision-making.
In summary, data mining is the process of extracting knowledge from large datasets, while data warehousing provides the foundation and infrastructure for storing and organizing the data, enabling effective data mining analysis.