Data Management refers to the process of organizing, storing, protecting, and maintaining the data generated and used by an organization. This includes data collection, processing, analysis, distribution, and preservation. Data Warehousing, on the other hand, refers to the process of collecting and storing data from different sources into a centralized repository for the purpose of analysis and decision-making. A data warehouse typically contains historical data that has been cleaned, transformed, and integrated from multiple sources, and organized in a way that supports efficient querying and analysis. Data Management and Warehousing are closely related, as data management practices are necessary to maintain the integrity and quality of data in a data warehouse. A well-designed data warehouse can provide organizations with valuable insights into their operations, customers, and markets, helping them make better-informed decisions.