Dave Poole explains the need for high quality database documentation and then demonstrates how to document the SQL Server database for a data catalog, in both HTML and Git Markdown, using SQL Doc, SQL Data Catalog, PowerShell, and a few helper scripts to ensure consistency and correctness. Read more
Chris Unwin describes a classification-driven static data masking process, using SQL Data Catalog to classify all the different types of data, its purpose and sensitivity, and then command line automation to generate the masking set that Data Masker for SQL Server can use to protect this data. Read more
Richard Macaskill shows how to use Docker Compose to get SQL Data Catalog up and running in a container, in your SQL Server test lab, and then use it to evaluate its data discovery and categorization capabilities on a containerized SQL Server instance. Read more
This article will explain how to import the data classification metadata for a SQL Server database into Data Masker, providing a masking plan that you can use to ensure the protection of all this data. By applying the data masking operation as part of an automated database provisioning process, you make it fast, repeatable and auditable. Read more
Josh Smith shows how to use SQL Data Catalog to perform a 'first cut' data classification for one your SQL Server databases, identifying all columns that are likely to hold personal or otherwise sensitive data. Read more
If you plan to make production data available for development and test purposes, you'll need to understand which columns contain personal or sensitive data, create a data catalog to record those decisions, devise and implement a data masking, and then provision the sanitized database copies. Richard Macaskill show how to automate as much of this process as possible. Read more