How to Classify and Protect your Development Data Automatically using SQL Data Catalog and Data Masker Command Line

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

Evaluating SQL Data Catalog using Docker Containers

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

Data Categorization for AdventureWorks using SQL Data Catalog

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

Practical steps for end-to-end data protection

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