System-of-record discipline
AI reads through governed data paths. Business writes go through governed command paths.
SQL Server and MySQL often contain the most durable business record—and some of the most important business logic. Modernization must inventory schemas, procedures, triggers, jobs, linked systems, reports, retention, reconciliation rules, and recovery before new consumers are allowed to depend on the data.
SQL Server
Recover the data model, business rules, and change path.
- Schema and object discovery
- Stored procedure and trigger analysis
- Business-rule identification
- Query and index optimization
- Data lineage and authoritative-source mapping
- Change Data Capture or outbox design
- Reporting isolation
- Database CI/CD and migration controls
- Backup, restore, and failover rehearsal
- Record-count, checksum, and financial reconciliation
In mature applications, critical business logic may live in SQL rather than application code.
MySQL
Upgrade with application compatibility and recovery evidence.
Version planning must account for WordPress and application dependencies, SQL behavior, replication, binlog and CDC consumers, schema migrations, performance, backups, and rollback. “Move it to the cloud” is not a modernization plan.
Data liberation without data chaos
Do not let every new application learn the legacy database.
Create stable contracts that hide cryptic schemas and prevent each consumer from reimplementing business logic. Use read models, governed views, APIs, events, semantic layers, and controlled command services.
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Acceptance
Database modernization is accepted through reconciliation and recovery.
- Source and target counts reconcile
- Financial, claim, policy, or transaction totals reconcile
- Critical histories remain complete
- Change ordering and idempotency are verified
- Latency and batch windows meet the operating need
- Access and audit controls are tested
- Backup and restore are demonstrated
- Rollback and parallel-operation plans are rehearsed