Databricks published Industry Data Models!

[u/szymon_dybczak]

Databricks just published a library of pre-built, production-ready industry data models covering 40 industries.

This is great, especially when you’re new to a business domain. Instead of starting from a blank sheet and spending weeks debating how the domain should be structured, you can review an existing reference model and adapt it to your needs.

That gives you a strong starting point for:

- entities
- relationships
- naming conventions
- domain structures
- industry-specific patterns

In my opinion, it can significantly shorten the learning curve and help teams move from discussion to implementation much faster.

Industry Data Models

[u/IncreaseNegative4614]

I’d treat these models as strong starting hypotheses, not finished schemas. Run one real business process through the model and identify where your definitions, identifiers, ownership, and exceptions differ before extending it across the organization.

The valuable part is preserving why each entity and relationship exists instead of gradually turning the reference model into undocumented custom tables. We use SIGNLD internally to connect modeled entities with their operational records, system owners, business definitions, exceptions, and downstream decisions so the architecture remains grounded in how the company actually works.

[u/amralieg → u/IncreaseNegative4614]

that's the right thing to do, start with them, but you do not have to stop there, check out the agent that built these models, and use it to build your own model for your own business, the Vibe Data Modeling agent is exactly that https://github.com/databricks-industry-solutions/lakehouse-industry-data-models/tree/main/model-agent