Data Testing
Data testing is a software testing methodology focused on validating the quality, accuracy, and integrity of data within systems, databases, and data pipelines. It involves techniques to verify that data meets defined requirements, is consistent across sources, and is free from errors or anomalies. This ensures reliable data-driven decision-making and prevents issues in applications that depend on data.
Developers should learn data testing when building or maintaining data-intensive applications, such as data warehouses, ETL pipelines, or analytics platforms, to catch data issues early and ensure system reliability. It is crucial in scenarios involving data migration, integration from multiple sources, or compliance with data governance standards, as it helps prevent costly errors and maintain trust in data outputs.