Stephanie Herr explains all the ways in which Redgate tools make it easier for you to include your database in your DevOps processes, so that the development, versioning, release, and on-going monitoring processes accommodate the special requirements of the database. 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
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
Alex Yates shows how to set up automated processes for SQL Server database source control, build and continuous integration using Redgate SQL Toolbelt, Git and Azure DevOps Read more
Steve Jones shows how to set up a SQL Change Automation (SCA) project in Visual Studio, and import an existing database. As the team make database changes, either in SSMS or VS, they import them into the SCA project, which saves each change as a migration script that is then committed to source control. 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
Phil Factor suggests a philosophy of "the SQL query optimizer knows best" when it comes to choosing the right execution plan. Use hints as a last resort, and evaluate them carefully whenever SQL Prompt warns you of their presence in your SQL code. Read more
You've found a database that is not in source control. What do you do? Phil Factor shows how to use SQL Compare to generate all the missing object scripts, in Git, and then keep them up-to-date automatically, in response to any further database changes, during development. Read more
Nowadays, it isn’t just banks and multinational corporations who have to be rigorous about data. Even modest organisations who would previously been unable to afford the storage, tooling and processing power required, now have sophisticated data processing capabilities within their reach. Like the superhero of the comics, with such power comes responsibility; companies soon reach Read more
If SQL Prompt alerts you to a table without a clustered index, investigate the reason for its absence carefully. It is rare indeed to find a table where data retrieval is faster without one. Read more