Security and compliance
Ensure data security and compliance with data masking, monitoring, and change traceability
Database monitoring and observability
Monitor and understand your databases with full visibility into performance and change
Database change management
Build, test, and deploy database changes with confidence
Productivity and workflow automation
Simplify and speed up database development workflows
AI data readiness
Prepare reliable data foundations for AI initiatives
Database modernization
Simplify and secure database modernization across platforms
Efficiency and cost optimization
Control costs and boost efficiency in database operations
Cloud migration and workload optimization
Simplify and speed up cloud database transformation
Product articles SQL Change Automation
Simple SQL Change Automation Scripting: Connections, iProjects and Builds
Phil Factor delves into some of SQL Change Automation's data objects, or artifacts, covering the DatabaseConnection, iProject and iBuildArtifact objects. He explains the useful information they contain and how to use them in a PowerShell-automated database delivery process. Read moreSQL Change Automation Scripting: Getting Data into a Target Database
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 moreStatic Data and Database Builds
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 moreSimple Steps in SQL Change Automation Scripting
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 moreDatabase Delivery with Docker and SQL Change Automation
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 moreRunning Linux SQL Server as a Container
Phil Factor starts a series of articles that will demonstrate the use of temporary SQL Server instances, running in Linux containers, into which we can deploy the latest database build, stocked with data, for development and testing work. This initial article shows how to set up a SQL Server instance inside a Linux Docker container, create some sample databases, and persist data locally. Read moreAutomating Builds from Source Control for the WideWorldImporters Database
Kendra Little shows how to get the WideWorldImporters database into version control, using SQL Source Control, and then set up an automated database build process, using Azure DevOps with SQL Change Automation. Read more
The Whys and Wherefores of Untrusted or Disabled Constraints
Having untrusted or disabledFOREIGN KEY or CHECK constraints in your databases will degrade data consistency and integrity and can cause query performance problems. Phil Factor explains how to detect these and other table-related issues, during development, before they cause trouble further down the line. Read more
Database Continuous Integration with SQL Clone and SQL Change Automation
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 moreBuild and fill a database using JSON and SQL Change Automation
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 moreRedgate Hub
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