Data Profiling and Quality
Learn about data profiling and data quality in Azure Data Factory.
Data profiling and data quality are essential aspects of any data integration process, and Azure Data Factory provides tools to ensure that data is of high quality before it is processed. Azure Data Factory can profile data during the copying process and provide insights into the quality of the data. The service also allows for custom rules to be defined to validate data against business requirements. With the integration of Azure Databricks, Data Factory can leverage the power of big data processing to perform in-depth data profiling and quality analysis.
Data quality
Data quality is a critical factor in ensuring that data analytics and business intelligence applications provide accurate and reliable insights. Data profiling is the process of analyzing and assessing the quality and structure of data to ensure it is suitable for its intended purpose.
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