Description: Normalization levels in the context of Data Warehousing refer to the different stages or forms of normalization applied to a database to achieve data integrity. Normalization is a process that organizes data in a database to reduce redundancy and improve integrity. This process is carried out by applying specific rules that divide data into smaller, related tables, making it easier to manage and maintain the database. There are several normal forms, each with its own characteristics and requirements. The First Normal Form (1NF) focuses on eliminating duplicates and ensuring that each column contains atomic values. The Second Normal Form (2NF) addresses functional dependency, ensuring that all attributes depend entirely on the primary key. The Third Normal Form (3NF) eliminates transitive dependencies, ensuring that data is independent of each other. In the context of data management and database design, normalization is crucial to ensure that data is accurate and consistent, which in turn allows for more effective analysis and informed decision-making based on reliable data.
