Data Validation Services
Design and implement validation rules that stop bad data before import, migration, integration or reporting.
Data validation services from ETL Tools help you define, implement and automate checks for customer datasets. Validation is where the workflow asks awkward questions before the database has to answer them in public.
Validation rules should reflect the real business contract
We turn business rules into testable checks. A rule can be simple, such as a mandatory account code, or more involved, such as validating that an end date is after a start date only for active contracts.
- Required fields
- Data types
- Ranges
- Date and code formats
- Patterns
- Uniqueness
- Reference data
- Cross-field rules
- Business rules
- Referential integrity
Validation protects imports, migrations and reports
Validation can run before database import, before a migration load, before a report is generated, or before data is passed to another system. The same workflow can produce accepted rows, rejected rows and summary counts.
A useful validation report explains the problem by row, field and rule. “Something went wrong” is not a data quality strategy. It is a shrug with a log file.
Rejected records need a clear path
Read the Data Validation hub for validation patterns and the Data Transformation Services page for wider workflow design.
- Write rejected records to a file or database table.
- Include the failed rule and original source value.
- Separate hard failures from warning-level issues.
- Reconcile accepted, rejected and total record counts.
Send enough detail for a useful first answer
For a quote, include sample data if possible and describe the current source, required output and how often the process runs. A tiny example file is often more useful than a long meeting. Nobody has ever said that about a long meeting.
- Sample data or representative field list
- Source format and destination format
- Approximate record volume
- Transformation, validation and mapping requirements
- Processing frequency and delivery deadline
- Required output files, tables, reports or exception logs
Frequently Asked Questions
Can you validate data before import?
Yes. A validation workflow can check rows before they reach a database, report, migration process or integration target.
Can validation rules use reference data?
Yes. Lookups against approved code lists, master data and database tables are common validation steps.
Can you produce exception reports?
Yes. Rejected records can be written with row numbers, failed fields, rule names and source file details.
Can validation be automated?
Yes. Recurring validation checks can run on schedule, on file arrival, or as part of a larger ETL workflow.