Data-Driven Decision-Making

Database architecting

Understand and document the data requirements of the organization or application, create a high-level conceptual data model that outlines the entities, attributes, and relationships between data elements, translate the conceptual data model into a detailed logical data model. This involves choosing data types, defining primary keys, foreign keys, and establishing normalization rules to reduce data redundancy and improve data integrity and Based on the logical data model, make decisions about how the database will be implemented within a specific DBMS.