Description: Logical Data Architecture refers to the design and structure of data systems, focusing on the logical organization of data rather than its physical implementation. This approach allows organizations to define how data relates to one another, facilitating understanding and access to information. Logical architecture emphasizes the representation of data, its attributes, and the relationships between different entities. This includes creating data models that describe the structure of data and how it can be manipulated. By providing an abstract view of data, logical architecture helps data designers and architects better plan and manage information systems, ensuring they are scalable, efficient, and aligned with business needs. Additionally, it is fundamental for data governance, as it establishes the foundations for data quality, security, and management throughout its lifecycle. In summary, Logical Data Architecture is an essential component in data management, enabling organizations to optimize its use and ensure that information is available and reliable.
