Phil Factor illustrates the 'quirks' of the SQL_VARIANT datatype and why it's best to investigate when SQL Prompt alerts you to its use. It is only safe to store data as a SQL_VARIANT, if you explicitly convert it to its true type before you use it. 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
The SQL Prompt Best Practice rule checks whether a comparison or expression includes a NULL literal ('NULL'), which in SQL Server, rather than result in an error, will simply always produce a NULL result. Phil Factor explains how to avoid this, and other SQL NULL-related calamities. Read more
Your strategy for loading a freshly built database with data will depend on how much you need. If just a few rows, then single-row INSERT statements will be fine, but for more than that you'll need to build insert the rows using native-format BCP. Fortunately, SQL Change Automation (SCA) can be used with either strategy, as Phil Factor demonstrates. Read more
If want the behavior and performance of our test databases to mimic that observed in production, then we must consider not only the database but also the server. Grant Frtichey reviews the server-level objects, settings and features that we may need to consider, and then shows how to 'synchronize' the linked servers, user logins and SQL Agent jobs, as part of an automated provisioning process, using SQL Provision. Read more
Whichever way you wish to ensure that a database, when built, has all the data that will enable it to function properly, there are reasonably simple ways of doing it. Phil Factor explains the alternatives. Read more
Phil Factor demonstrates the bare essentials of SCA PowerShell scripts that can form the basis for an automated process for database delivery or help improve your current process. Read more
Grant Fritchey shows how to provision a group of interdependent databases, masked to protect sensitive or personal data, to each machine in an Azure-based test cell. Read more
Phil Factor demonstrates how to integrate SQL Change Automation into containerized workflows, such as are typical of a microservices architecture. He shows how to automate database builds into a Linux SQL Server container running on Windows, and then backup the containerized database and restore it into dedicated containerized development copies for each developer and tester. Read more
John Morehouse describes how a quest to help solve his organization's "deployment bottleneck" led them to a place where they could both deliver application and database changes into the wild at a pace to satisfy customer demand, and achieve a better work-life balance for the team, both of which are well worth having. Read more
Compliant Database DevOps
Standardize team-based development
Automate database deployments
Monitor performance and availability
Protect and preserve data
