Tony Davis explores how SQL Change Automation is increasingly providing ways of working with SQL Clone, to improve the quality of testing for database changes. With SCA v4.3, developers can now use the SSMS plugin to create a clone of the target database, to be used as a reference database, or baseline, for the deployment project. Read more
Starting out a new database development with source control is relatively easy. To introduce source control into an existing database application can be more challenging. Phil Factor explains some of the fundamental steps. Read more
SQL Multi Script can easily be persuaded to run queries at the server level rather than the database level. It is also able to combine results from many databases even if the results aren't identical but have some different columns. Phil Factor demonstrates how this works, when collecting a set of performance counters from all databases on a distribution list of servers. Read more
SQL Multi Script does one thing and does it well: it will run whatever script or scripts you select, on a list of databases, and collate all the results neatly. However, it has a surprising number of uses. Phil Factor explains how it works and then uses it to search 100 databases, for occurrences of a string, in about 7 seconds. Read more
In Redgate Change Control v3.0, you can now commit your database changes to your local Git repository and collaborate with your team by pushing and pulling changes from the remote Git repository. If you’re using branches, you can also create and switch Git branches from within Redgate Change Control. Read more
Phil Factor explains how to use SQL Prompt, or SQL Change Automation, to detect use of deprecated SQL Server syntax, during development, and Dynamic Management Views and Extended Events to track its use on working databases. Read more
There is no single, correct approach to developing and testing your SQL batches and routines. It depends on the requirement. For simple tasks, like modifying and testing a view or stored procedure, SQL Compare and SQL Data Generator, combined, provide a useful, lightweight development harness. Read more
Jamie Wallis explains how SQL Monitor can both reveal quickly who ran a deployment, and when, and automate the incident-response workflow to ensure it's dealt with swiftly. By extending such workflows to development and test servers, as well as production, the feedback cycle starts earlier, and you can stop problems from ever reaching the users. Read more
Let's say your QA team maintain two similar test databases. They run tests to verify that different versions of the same application still produce the same, correct results. Therefore, any differences in the test data, between the two databases, needs to be corrected before the tests start. This is the sort of task for which SQL Data Compare is ideally suited, and Bob Sheldon explains how it all works. Read more
Compliant Database DevOps
Standardize team-based development
Automate database deployments
Monitor performance and availability
Protect and preserve data
