Andmetest

Andmetest is a term used in Estonian-language contexts to describe testing activities centered on data and data-driven processes. In software engineering and data engineering, andmetest encompasses procedures that validate data quality, integrity, and conformance to defined schemas and business rules throughout a project's lifecycle.

Typical activities include data validation (ensuring values meet type and range constraints), schema validation, checks for missing or inconsistent values, deduplication tests, and verification of data transformations in ETL and ELT pipelines. Data quality testing may also assess lineage, traceability, and the impact of data changes on downstream systems. In privacy- and security-conscious organizations, andmetest can cover compliance with data handling policies and access controls.

Practical implementations rely on automated test suites, synthetic data generation, and data sampling to exercise pipelines, validate results, and detect regressions. Andmetest is closely related to data governance and quality assurance disciplines, often overlapping with data validation, data quality engineering, and migration testing.

Because the term is language-specific, English-language documentation may translate it as data testing or data quality testing, but the scope is similar: ensuring that data remains accurate, complete, and usable for analytics and operations.