Phil Factor shows how a set of Redgate tools can be used together, via PowerShell, to build a database from object-level source, stock it with data, document it, and then provision any number of test and development servers. Before tearing down and rebuilding a database to a new version, we take care to save any DDL changes made to the existing copy. Read more
Phil Factor demonstrates how to export data from a database, as JSON files, validate it using JSON Schema, then build a fresh development copy of the database using SQL Change Automation, and import all the test data from the JSON files. Read more
How to use SQL Data Generator, and PowerShell to obfuscate personal data (names), while retaining the same distribution of data, so that the test database behaves like the original. Read more
Starting from a database view, as the basis for a typical sales reports, Phil factor shows how to generate a data-masked version of this report, which the Tax Men can safely pore over. Read more
Generating realistic test data is a challenging task, made even more complex if you need to generate that data in different formats, for the different database technologies in use within your organization. Dave Poole proposes a solution that uses SQL Data Generator as a ‘data generation and translation’ tool. Read more
Phil Factor shows how to use SQL Data Generator to produce as much pseudonymized data as you are likely to need for your testing, and then convert it to JSON so that you can also use it to test your MongoDB and Azure Cosmos databases, or to test out a new web service. Read more
This article offers a build-and-fill method for development databases, where each developer will subsequently want to alter the data or metadata in his or her copy of the database. Read more
Phil Factor provides a simple PowerShell script that you can use to automate data provisioning for test databases, during the database development cycle. Read more
To get the best results, you need to provide SQL Data Generator with some hints on how the data ought to look. Phil Factor nudges it towards realistic text data. Read more
Compliant Database DevOps
Standardize team-based development
Automate database deployments
Monitor performance and availability
Protect and preserve data
