Data Modeling
Dawiso's Data Model application helps you design, maintain, and evolve data structures aligned with real systems. Step-by-step video tutorials included.
About this lesson
A data model states how your data is meant to be structured: which entities exist, what attributes they carry, and how they relate. Most organizations have one, and most of them are wrong, because the diagram was drawn once and the database kept changing. A model that is validated against a database scan is a different artifact from a diagram in a slide deck. It can be trusted for impact analysis, because divergence from the real system shows up instead of going unnoticed.
Who it is for. Data architects, modelers and engineers who need the design to match what is deployed.
Points to cover
- Create and enrich models with entities, attributes, relations, and domains
- Keep models in sync using workflows, validation, and database scans
- Collaborate in real time and maintain consistent terminology across teams
What you will be able to do
- Build a model from entities, attributes, relations and domains
- Keep the model aligned with the real database through scans and validation
- Work on a model with others while keeping terminology consistent
Go deeper
How modeled structures connect to the scanned technical metadata around them. Data Catalog
