Pipelines & analytics
Reporting built from inconsistent operational and third-party data.
Explore Pipelines & analyticsData
Relational modeling with PostgreSQL, MySQL, or SQL Server; document storage where appropriate; object storage for files; Redis for caching. Choose consistency and recovery behavior to match the workload.
Discuss your projectTransactions, relationships, and constraints.
Retention, access, and links to the owning record.
Expiry, invalidation, and a reliable source behind it.
Choose storage around the record’s lifetime and correctness requirements. A cache should not become the accidental system of record, and a file should not lose its ownership or retention rules because it lives outside the database.
| Requirement | Decision to record |
|---|---|
| Acceptable data loss | How recent must a recovered copy be? |
| Restoration time | How quickly must the workflow resume? |
| Retention | When can records and backups be removed? |
| Access | Who may read, change, export, or delete the data? |
Restore it in a controlled environment and verify the application can use the recovered records and files together. A successful backup job is not evidence of a complete restoration.
Your project, scoped around the outcome
A data model, storage configuration, and a backup and restore plan.
Talk through the scopeReporting built from inconsistent operational and third-party data.
Explore Pipelines & analyticsEmployee search and AI retrieval over approved business documents.
Explore Retrieval & search