Final answer:
The process of extracting patterns from data stored in a data warehouse is called data mining, which uses various techniques to identify trends and inform business intelligence.
Step-by-step explanation:
The process of extracting patterns from data located in the data warehouse is called data mining. This process involves using algorithms to identify trends, correlations, and patterns in large data sets to help in decision-making. Data mining techniques are often used by businesses and organizations to make strategic decisions based on insights gathered from analyzing historical data.
Data mining can involve various methods and techniques like classification, clustering, regression, association rule learning, and anomaly detection. These methods help uncover relationships within the data that may not be immediately apparent. It's an essential aspect of business intelligence and big data analytics, which leverages computational power to process and analyze large volumes of data rapidly.