Data Governance and Security Frameworks

Data management is crucial in the digital age, and Azure Data Factory (ADF) stands as a key player in orchestrating data workflows. Here, we’ll explore the vital aspects of data governance, security, and compliance within the realm of ADF.

What is data governance?

Data governance is the foundation of effective data management. It involves defining policies, procedures, and standards to ensure data quality, security, and compliance. In the context of Azure Data Factory, data governance becomes the linchpin for seamless data integration and transformation.

Best practices for data governance in ADF

Here are some best practices for data governance in ADF:

1. Define data policies: It is essential to define data policies that specify how data should be handled throughout its life cycle. Data policies should include data quality standards, data security and privacy policies, and data retention and archival policies.

2. Create a data catalog: Creating a data catalog is essential for data governance in ADF. A data catalog is a centralized repository that stores metadata about the data sources, data pipelines, and datasets used in ADF. It provides a single source of truth for all data-related information and helps maintain data lineage.

3. Ensure data quality: Data quality is critical for the success of any data integration project. In ADF, we can use data quality rules to ensure that data is accurate, complete, and consistent. Data quality rules can be defined at the source or target level and can be used ...