The Slicer vs. The Kraken: What we built to migrate a 300K-character stored procedure

Migrating from legacy systems like Synapse or SQL Server to modern platforms such as Databricks and dbt often reveals hidden complexities, particularly with stored procedures that have accumulated over time. These procedures can pose significant challenges, as they encapsulate years of business logic, undocumented decisions, and complex dependencies that are not easily translated. A notable example involved a 300,000-character stored procedure during a Synapse-to-Snowflake and dbt migration for a manufacturing client, which significantly delayed the project. Traditional migration tools and large language models (LLMs) often fall short in handling these procedures because they excel at syntax rather than understanding the intricate logic and variable interactions that these procedures entail, highlighting the need for more advanced solutions in migration projects.

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