The business need
A growing database can become difficult to understand: which tables belong to each application, what does a column mean, and where is it used? DB Explorer AI Studio presents an approach connecting the technical schema, documentation and business vocabulary. The aim is to give developers actionable understanding before maintenance or change.
What the presentation covers
- AI Schema Guard: checking SQL references against the actual schema before execution
- Application contexts and GAMS documentation defining the scope
- Business Registry connecting business objects to their implementation
- Focused conceptual data model, Query Builder and visible SQL
- An introduction to impact analysis and AI context export
Software architecture and your project
This presentation highlights data-centered software architecture: mapping dependencies, connecting business concepts to code, and passing precise context to a developer or AI. It provides a starting point for discussing a database review, application documentation or migration planning.
About this demonstration
V1 is an animated presentation. The scenario plans a future V2 recorded directly in the application. Available features and scope should be confirmed in a guided demonstration.
Questions and answers
What is a focused conceptual data model?
A conceptual data model shows relationships between data. Focusing it on one application keeps the diagram readable rather than displaying the entire database.
Do SQL checks guarantee a risk-free query?
The presented checks verify schema references. They do not replace validation of business meaning, access rights or query effects.
Discuss your project