How Erasmus Migrated T-SQL to dbt on Databricks: AI-Assisted Migration with Lakebridge
Wednesday 14:45 - 15:15
Lezingenzaal 8
Ellen van Bergen
Data Platform Lead
How do you rewrite ten years of SQL Server logic as dbt models on Databricks? In this session, Erasmus and Xebia show how they built a migration pipeline on Lakebridge, the open-source transpiler from Databricks Labs, running entirely inside Erasmus' own Databricks workspace. AI translates the views, stored procedures and functions; engineers review every model before it ships. You'll see the pipeline in action, the actual numbers on cost and speed, and what it takes to apply the same approach to your own migration. This is not about replacing engineers with AI, but about letting them spend their time where it counts.
Murat Can Cakir
Senior Data Engineer
How do you rewrite ten years of SQL Server logic as dbt models on Databricks? In this session, Erasmus and Xebia show how they built a migration pipeline on Lakebridge, the open-source transpiler from Databricks Labs, running entirely inside Erasmus' own Databricks workspace. AI translates the views, stored procedures and functions; engineers review every model before it ships. You'll see the pipeline in action, the actual numbers on cost and speed, and what it takes to apply the same approach to your own migration. This is not about replacing engineers with AI, but about letting them spend their time where it counts.
How do you rewrite ten years of SQL Server logic as dbt models on Databricks? In this session, Erasmus and Xebia show how they built a migration pipeline on Lakebridge, the open-source transpiler from Databricks Labs, running entirely inside Erasmus' own Databricks workspace. AI translates the views, stored procedures and functions; engineers review every model before it ships. You'll see the pipeline in action, the actual numbers on cost and speed, and what it takes to apply the same approach to your own migration. This is not about replacing engineers with AI, but about letting them spend their time where it counts.
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