Automated Provisioning of Multi-Database Environments in a Flyway Development

This article describes how we implemented lightweight database provisioning, using clones, within an automated Flyway release process . It allows users to self-serve personal copies of a complex multi-database system, in a way that is transparent, supports flexible Git branching and merging strategies and agile releases, but does not compromise data security nor add significant admin overhead. Read more

Testing Databases: What’s Required?

An overview of the challenges of database testing and test data management, reviewing the different types of database test that need to run during development work, what sort of test data they require, and how to manage all the required data sets, during development, in a way that allows rapid cycles of parallel testing. Read more

Continuous Data Protection with SQL Data Catalog 2.0 and Data Masking

SQL Data Catalog 2.0 provides a simple, policy-driven approach to data protection, through data masking. It can now automatically generate the static masking sets that Data Masker will use to protect your entire database, directly from the data classification metadata held within the catalog. Read more

Running SQL Clone on an Azure VM with Azure File Storage

How to use SQL Clone in the Azure Cloud, installing it on an Azure Virtual Machine, storing a copy of your SQL Server database as an 'image' on an Azure File Share, and then deploying multiple clones to another Azure VM or to a remote machine. Read more

Solving the Provisioning Problem in Database Development using Clones

When database development is described, the details often get vague when the data gets beyond spreadsheet-size. There is 'hand-waving' talk of providing databases for each developer, but little detail of how you would provision all the databases that would be needed, at the correct version and with the correct development data, and then keep them all in sync with the source code, as developers commit changes. This article explains the requirements, and how SQL Clone can meet them. Read more

Database Development with GitHub

How can you use GitHub to do team-based database development? This article proposes a process that splits development work into task-based GitHub branches, incorporates daily database builds and integration testing, and uses Redgate tools to automate tasks such as provisioning, database scripting, and testing. Read more

SQL Change Automation: Adding SQL Clone to the Mix

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

Getting Started with Automatic Database Branch Switching

Alexander Diab demonstrates how a team of developers can work on and test features in different branches of a SQL Server database development project, while their local development database automatically remains 'synchronized' with the current branch in version control. Read more

How SQL Clone and SQL Change Automation enable seamless Database Branch Switching

Learn how SQL Clone and SQL Change Automation, used together, now allow you to branch your database in Git as quickly and simply as your code. Read more

Meeting your CCPA needs with Data Classification and Masking

This article will explain how to import the data classification metadata for a SQL Server database into Data Masker, providing a masking plan that you can use to ensure the protection of all this data. By applying the data masking operation as part of an automated database provisioning process, you make it fast, repeatable and auditable. Read more

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