Shared infrastructure setup for data migration and data validation — prerequisites, compute pool, worker config, and source database/schema capture.
Setup, run, and report on cloud data migration — workflow YAML, migrate_data run, background Monitor (or poll fallback), and end-of-run summary for the user.
Core migration loop for a single stored procedure, function, or BTEQ script. Iterates deploy -> test -> diagnose -> fix until Snowflake output matches source.
Deploy and validate all object types (tables, views, functions, procedures) in dependency order. Triggers: deploy objects, migrate objects, deploy tables, deploy views, migrate functions, migrate procedures.
Capture the data migration + validation strategy (migration type, sync strategy, extraction strategy, target table type; validation type + sync strategy) by driving the data-migration-setup and data-validation-setup wizards to completion.
One-time infrastructure setup for cloud data validation — verify the orchestrator service is ready after the shared infrastructure step.
Set up a migration project — connect to source, initialize, extract objects, convert, and assess. Covers steps 1-5 of the migration lifecycle.
End-to-end database migration to Snowflake. Orchestrates the full migration lifecycle from source connection through initial conversion. Triggers: migrate, migration, migrate to snowflake, end to end migration, e2e migration, full migration.