Get an overview of data quality rules in Microsoft Purview Unified Catalog, and how you can use them to increase the quality and trustworthiness of your data.

Apr 30, 2025 · Learn more about what data quality rules are, why they're important and how to use them to improve data quality at your organization.

2 days ago · A data quality assessment (DQA) is a systematic methodology used to determine whether the quality of the data meets the requirements for its intended use.

Oct 14, 2025 · Before you can improve anything, you must understand current data quality levels. Data profiling interrogates structure, patterns, and anomalies, while an assessment framework …

Jul 5, 2025 · Read this guide to understand what is a data quality rule, how to set parameters, and how it evaluates the data quality measures to detect data quality issues. What are the rules in …

5 days ago · You'll learn how to transform data chaos into clarity with a practical data quality framework that ensures consistency, reliability, and trusted insights.

Jun 11, 2025 · Data deduplication: removing duplicate records or data entries Data validation rules: defining rules to check data against a set of constraints Data Quality Monitoring and …

Jun 3, 2025 · Data validation is the first line of defense against poor data quality. It involves implementing rules and checks to ensure that data conforms to expected formats, types, and …

Apr 17, 2024 · With this wiki, we aim at providing a central collection of all of these rules so you can use the for free to improve your Data Quality. How can I use it? The wiki is open to the …

Aug 22, 2025 · For decades, enterprises have tried to solve data quality (DQ) through siloed policies, static validation checks, and legacy master data management systems. Yet as AI, …