Decide what each record means and who owns it.
We define the main records, how they connect, how they change, how long they are kept, and which system owns each important fact. Clear rules help keep bad or mixed-up information out.
We decide who can view, add, change, or remove each kind of record. Apps get only the access they need, and important changes can be logged for later review.
Migrate data as a measured transformation.
We profile the source data, map fields and identifiers, decide how to handle duplicates and missing values, rehearse the transformation, and validate counts and representative records before cutover. Backups and rollback criteria are defined before the irreversible-looking part begins.
Large or active systems may require staged backfills, incremental synchronization, a controlled write freeze, or parallel verification. The migration plan matches business continuity and risk rather than assuming one dramatic import will feel lucky that day.
Integrate through stable contracts and observable jobs.
Applications and external systems should access the database through appropriate APIs, services, governed views, or controlled import and export processes. We avoid exposing tables directly when permissions, business rules, or versioning require a stronger boundary.
Indexes, query plans, connection behavior, batch sizes, retries, logs, and reconciliation are tuned around actual workflows. Backup schedules are paired with restore testing because a backup nobody has restored is largely a motivational poster.
Database services can include
- Data model, identifiers, relationships, constraints, and lifecycle design
- PostgreSQL or SQL schema, migrations, indexes, and query improvement
- Source profiling, cleanup, deduplication, transformation, and validation
- Role-aware access, server-side controls, audit needs, and secure APIs
- Imports, exports, synchronization, backups, restore plans, and documentation