Explore the essentials of physical data modeling in applications, focusing on table diagrams, data storage, and transformations, as discussed by experts in the field.
A new blog post of What’s Your Baseline was published on Sep 22, 2021:
Overview:
This article delves into physical data modeling, focusing on how data is stored within applications. It discusses the importance of creating detailed models to clarify the structure and relationships of data, ensuring consistency and efficiency in data design.
Core content:
- Physical data models are essential for understanding how applications store data, including table structures and field definitions.
- The article outlines creating two levels of physical data models, differentiating between applications with internal and external databases.
- Readers will learn the importance of maintaining application profiles to effectively map logical and physical data models.
Learnings:
- Understand the necessity of physical data modeling and the questions it answers about data storage and transformation.
- Gain insight into how to create high-level and detailed table diagrams for effective data management.
- Learn the benefits of establishing a traceable data model to meet regulatory obligations and improve data quality.
The original content was published in English.
