# Unlocking the Full Value of Your Databricks

DevFeed: [Unlocking the Full Value of Your Databricks](<https://devfeed.tech/articles/unlocking-the-full-value-of-your-databricks-83752.md>)

Original publisher: [Read original article](<https://dagster.io/blog/unlocking-the-full-value-of-your-databricks>)

Author: Dennis Hume

Published: 2026-03-12T00:00:00Z

Content type: article

Language: en

Sources: [Dagster](<https://devfeed.tech/sources/dagster.md>)

Topics: [databricks](<https://devfeed.tech/topics/databricks.md>), [Databricks Unity Catalog integration](<https://devfeed.tech/topics/databricks-unity-catalog-integration.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>)

Tags: [airbyte](<https://devfeed.tech/tags/airbyte.md>), [dagster](<https://devfeed.tech/tags/dagster.md>), [data-products](<https://devfeed.tech/tags/data-products.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [dbt](<https://devfeed.tech/tags/dbt.md>), [product](<https://devfeed.tech/tags/product.md>), [unity-catalog](<https://devfeed.tech/tags/unity-catalog.md>)

## AI overview

The article argues that standardizing on Databricks does not by itself provide an operating model across enterprise teams and downstream systems. It presents Dagster as a complementary coordination layer that connects assets and dependencies across tools, with Unity Catalog remaining the governance authority for Databricks assets. The proposed shared operational view is intended to help teams track lineage, freshness, ownership, and downstream impact.

## Source excerpt

Standardizing on Databricks is a smart strategic move, but consolidation alone does not create a working operating model across teams, tools, and downstream systems. By pairing Databricks and Unity Catalog with Dagster, enterprises can add the coordination layer needed for dependency visibility, end-to-end lineage, and faster, more confident delivery at scale.