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
Grant Fritchey discusses the need to ‘shift left’ the database and associated database testing, while keeping sensitive data secure when it is outside the production environment, and how SQL Provision can help you achieve this. Read more
Richard Macaskill describes a lightweight copy-and-generate approach for making a sanitized database build available to development teams, using SQL Clone, SQL Change Automation and SQL Data Generator. 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
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
With basic grasp of regex expressions, a tool like SQL Data Generator can generate test data with addresses that are realistic for your part of the world. Read more