A PowerShell automation script to build a SQL Server database from source control, seed it with dummy data, document it, and then deploy copies to any number of test and development servers. Read more
As more businesses start to use cloud-based platforms, such as Azure SQL Database, as their primary database solution, they find that they still need to support on-premise workflows for development and test databases. This is a perfect task for SQL Provision. Read more
Phil Factor provides the basis for a Database Continuous Integration process, using SQL Change Automation to build the latest database, and then SQL Clone to distribute it to the various team-based servers that need it. Having honed the process, you can run it every time someone commits a database change. Read more
Grant Fritchey shows how to adapt a data masking process, for address data, so that it incorporates knowledge of the data distribution in the real data. The result is fake address data, with an accurate distribution, for use in development and testing work. Read more
Grant Fritchey provides a simple way to create fake address information that still looks real. The compromise is that it uses random data distributions and doesn't maintain any correlation between postal codes, states and cities, so won’t accurately reflect the real address data. Read more
Owen Hall describes the new "clone reset" feature, how it works and the database development and testing processes it enables, or makes simpler and quicker. Read more
Grant Fritchey shows how to use Data Masker to create fake credit card data that not only looks like the real thing, but also has the right distribution, so will act like it too, when we query it. Read more
Chris Unwin explains how SQL Provision can create copies of multiple databases, each masked consistently, and deliver them as a group. This is useful when, for example, you are working with a Data Warehouse that contains several cross-database relationships. Read more
Steve Jones show how a team might use SQL Provision to build consistent, compliant, useful databases, on demand, for development and test environments. Read more