So, what is it?

A typical dbt™ workspace is intricately linked to Git repositories, supports multiple users, and connects with data warehouses, creating a collaborative environment for data development. In Paradime you can setup multiple workspaces, where each workspace is a self-contained unit where your teams can do their analytics work. All workspaces come with its own repo, users, data warehouse connections, production schedules, alerting, notifications, dbt™️ version, and integrations.

When you join Paradime, you will start with a default workspace, and based on your plan, you are able to setup multiple workspaces. This feature caters to both distributed analytics teams and individual users, offering flexibility in configuring dbt™ workspaces.

How multiple workspaces is fundamental to Tide’s data mesh project

Sai Anil Kumar, Staff Data Platform Engineer at Tide, told us that having the ability to work on multiple workspaces has been a game-changer for his team. It brings flexibility and structure necessary for them to drive their data mesh project forward - and at the high speed they want to drive it. We all know that companies and people in the data and analytics industry are all talking about data mesh, but only a few are successfully implementing it. So for Tide, it has been crucial to find a tool like Paradime that could support them in building the data mesh architecture they need. You can read the full Tide customer story HERE.

Since implementing Paradime, close to 90% of the data and analytics team has experienced a smoother, more user-centric analytics development workflow due to a reduction in context switching. Additionally, nearly 60% of the team has noted a significant increase in time saved weekly since adopting the platform.

How you can improve your dbt™ development with multi-workspaces

To illustrate, imagine working in your primary dbt™ workspace and suddenly you’re in need of a separate project. Instead of disrupting the existing workspace, Paradime users can easily create a new workspace - independent of all the other workspaces.

Check out the video to learn how to get the workspaces up and running in no time.‍

1) Access workspace management

• Navigate to the top right corner of the interface and click on "Manage Workspaces".

2) Add a new workspace

• Within the Workspace Management section, click on "Add New Workspace". In the newly prompted section, give the new workspace a name and then click "Create Workspace”.

3) Configuring workspace

• Choosing the desired dbt™ version for the new workspace.
• Pick the Git provider for the new dbt™ repository.
• Input the repository URL associated with the new dbt™ project.
• Connect the new workspace to the relevant data warehouse.

Success! Now you can switch between workspaces with ease by clicking on the top right corner, providing you with a seamless transition between workspaces. Sign up today for a FREE 14-day trial.

Happy developing!