Data Quality
Data Quality refers to the overall condition of data based on factors such as accuracy, completeness, consistency, reliability, and timeliness. It involves processes and metrics to ensure data is fit for its intended uses in operations, decision-making, and planning. Poor data quality can lead to erroneous insights, operational inefficiencies, and compliance risks.
Developers should learn about Data Quality when building data-intensive applications, data pipelines, or analytics systems to ensure reliable outputs and user trust. It is critical in domains like finance, healthcare, and e-commerce where data-driven decisions have significant impacts. Implementing data quality checks helps prevent bugs, reduce maintenance costs, and meet regulatory requirements like GDPR or HIPAA.