Alex Merced • 5/2/2025

Introduction to Data Engineering Concepts | Data Quality and Validation

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This article delves into the foundational concepts of data quality and validation in data engineering. It defines key dimensions of data quality like accuracy, completeness, and timeliness, explains where quality issues typically arise in systems, and discusses the role of validation tools and practices in building trustworthy data pipelines.

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#Data Quality #Data Pipelines #Data Validation
Introduction to Data Engineering Concepts | Data Quality and Validation

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