Microstrategy Analytics

Designing a Normalized Database from Microsoft Tables representing propositions about entities of one type (that is, representing a single set) are fully normalized. Correct and complete mapping of a conceptual ORM model to a logical model yields fully normalized tables. Properly designed entities in an ER model lead to fully normalized tables as well. However, both ORM and ER modeling start with the business description of a problem; it is possible to miss some dependencies between entities and leave some tables denormalized. Of course, there could also be a bug in the tool that produces the DDL script from the ORM and ER models. However, any denormalization can lead to update anomalies. Data integrity and consistency are fundamental for databases. Remember that a database holds propositions, and propositions are facts. If propositions are not true, they are not facts; they are falsehoods. You need a logical method that yields a fully normalized database. Normalization is ...