What is the difference between Data Mining and Data Warehousing?

The main difference between data warehousing and data mining:
Data warehousing is the process of compiling and organizing data into one common database.
Data mining is the process of extracting meaningful data from the database.
Data mining is used to discover patterns and relationships in the data to make better business decisions. Data mining helps to spot sales trends, develop smart marketing campaigns, and predict customer loyalty accurately.