How to Parameterise Dataflow Gen2 Destinations for Seamless Dev/Prod Deployment

Managing Dataflow Gen2 across multiple environments (Development and Production) can be a headache. By default, the destination Lakehouse or Warehouse IDs are hardcoded. This means when you deploy to a Production workspace, your dataflow might still try to write back to your Development environment. In this guide, I’ll show you a workaround to parameterize your … Read more

Microsoft Fabric Deployment Pipelines

What are Deployment Pipelines? Pipeline Structure Stage Comparison in UI Item Pairing & Status Selective Deployment Deployment Rules Lakehouse & Deployment Pipelines in Fabric Deployment pipelines move Lakehouse metadata, including shortcuts, but do not copy data or table schemas. After deployment, shortcuts still point to the original source, and the Lakehouse will be empty unless … Read more

Transforming to an automated Database DevOps process

A Real-world Implementation of Database DevOps: People, Processes, Tools | Redgate (red-gate.com) For this implementation we will look at a team of professionals developing bespoke .NET solutions for their customers. Broadly, their ‘old’, manual database development, test and release processes looked like this. It used a shared development and test databases, a couple of ‘standalone’ … Read more

Collaboration (GIT & Repo)

Git and GitHub provide a collaboration space in which you all share the same repository of versions. The central repository on GitHub provides the “single source of truth” of the current version of the documents and files within the directory. You and your collaborators all work on local copies of that repository, committing your changes, … Read more