There are four primary types of data management: Database Management: This type of data management focuses on the storage, organization, and retrieval of structured data within a database system. It involves designing and maintaining databases, defining data schemas, managing data access, and ensuring data integrity and security. Document Management: Document management involves the organization, storage, version control, and retrieval of unstructured data in the form of documents, files, and content. It includes features like indexing, metadata management, document sharing, collaboration, and document lifecycle management. Data Warehousing: Data warehousing focuses on consolidating and integrating data from various sources into a centralized repository, known as a data warehouse. This type of data management involves transforming and aggregating data to support business intelligence, reporting, and analytics. Data warehousing facilitates the extraction of valuable insights from large volumes of historical data. Master Data Management: Master data management (MDM) aims to establish a single, authoritative source of accurate and consistent master data across an organization. Master data refers to core data entities, such as customers, products, and locations. MDM involves creating and managing data models, defining data governance policies, resolving data conflicts, and ensuring data quality and consistency across systems and departments.