[Databricks Data + AI Summit 2026] Migration Strategy from Oracle to Databricks Lakehouse

At Databricks Summit 2026, an efficient methodology for migrating an existing Oracle data warehouse to Databricks Lakehouse was introduced. The key point is not to move the entire database at once, but to approach it by decomposing it into business Use Case units.

The first step toward a successful migration is Use Case analysis. The first project should be selected based on high business value, quick feasibility of implementation, and high visibility so that users can immediately feel the effect. Afterward, it is important to analyze the Dependency between each Use Case to determine priority and identify areas that can be performed in parallel.

The second step is building a Technical Artifact Inventory. Technical assets should be analyzed in detail to assess complexity, including not only database assets such as Table and View, but also ETL logic such as PL/SQL and Stored Procedure, as well as integration components like APIs.

Databricks proposes two migration approaches.

• ETL First: A traditional approach that reconstructs the existing data flow as is, offering a clear structure and high operational stability, but taking a long time to feel the results.
• BI First: (content of the body cut off) [Detailed content omitted due to limitations of the provided text]