https://medium.com/@jyothi.yalpi/from-business-data-model-to-dbt-lineage-and-graph-a-simple-introduction-to-data-arrow-e26eac5628ef

Data Arrow was born from the frustration of seeing business logic scattered across SQL, dashboards, dbt models, and undocumented assumptions.

The goal is to help teams convert messy technical structures into clean, understandable, and executable data models.

It is not only about generating code.
It is about helping people understand the data model before they build on top of it.

Because in the end, a data platform is only valuable when both the business and the technical teams can trust the same model.

The Real Motivation

I did not build Data Arrow because the world needs another diagramming tool.

I built it because I felt there is a missing layer between business thinking and data engineering execution.

Many tools are good at execution.
Many tools are good at visualization.
But very few tools help someone understand:

• What is the grain?

• Is this a fact or a dimension?

• Can this SQL be converted into a cleaner model?

• How does this dbt lineage map back to business concepts?

• Can this business model become executable dbt code?

• Can the same model also become a graph model?

That is the gap Data Arrow is trying to solve.