It’s a tale as old as time: a data migration that was supposed to take months turns into years turns into something that no longer has an end date—all while going over budget and increasing in complexity every day. In this session, Gleb is going deep on the methods, tooling, and hard lessons learned during a years-long migration at Lyft. Specifically, he'll share how you can leverage data quality testing methodologies like cross-database diffing to accelerate a data migration without sacrificing data quality. You should walk away with practices that will allow your data team to plan, move, and audit database objects with speed and confidence during a migration.