Data warehousing involves collecting, storing, and managing large volumes of data from various sources in a centralized repository to support business decision-making. It focuses on organizing data for easy access, analysis, and reporting. Data mining, on the other hand, refers to the process of discovering patterns, trends, and insights from large datasets using statistical and machine learning techniques. Together, data warehousing and data mining enable businesses to analyze historical data and make informed predictions. These processes are essential for improving decision-making, optimizing operations, and gaining competitive advantages.