data-management

You can automate database schema setup by applying migrations and loading seed fixtures from a data management plan. This process verifies data integrity and documents procedures, ensuring build stages run tasks requiring real data without manual setup.

Preparing evaluation data involves loading seed fixtures and applying database migrations based on a data management plan. The automated process checks row counts and constraints to ensure data integrity before deployment or implementation.

Verifying data integrity after database migrations involves checking row counts and constraints against expected values. This ensures the schema setup and loaded seed fixtures maintain consistency across development and staging environments.

Yes, a data management plan is required to set up database schema and seed data. The Skill reads from this plan to apply database migrations, load fixtures, and document procedures for resetting and re-seeding the database.

Yes, automated scripts can reset and re-seed a database for development by applying migrations and loading seed fixtures. The Skill provides documentation and guidelines for repeating these procedures to maintain consistent environments.

Automating seed data preparation requires direct access to the target database. Without database access, the Skill cannot apply schema migrations, load seed fixtures, or verify data integrity constraints and row counts.