An organization may have a number of different systems like TPS, ERP, Accounting Systems and so on. Each of these systems collect data but the data collected through these systems are not always in the same format. So we need to combine all these data from different sources into a single standard form and this process of combining multiple databases into a single homogenous form is called data warehousing.A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management’s decision making process.Subject-oriented
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Data Mining is the process of discovering hidden patterns, relationships, and useful knowledge from large datasets stored in databases or data warehouses. It uses techniques such as classification, clustering, association rule mining, regression, and prediction to analyze data. Data mining helps organizations identify trends, customer behavior, fraud detection, market opportunities, and future predictions.
Data Warehousing and Data Mining are two important concepts in Business Intelligence that help organizations store, Big Data Projects.manage, and analyze large amounts of data for better decision-making.
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