Quickstart

Getting started with Laktory is simple. Use the CLI quickstart command to set up a stack that aligns with the resources you want to deploy. You can choose from three templates, each tailored to specific deployment needs:

• workflows: A workspace-based deployment that includes notebooks, notebook jobs, Laktory job pipelines, and Laktory DLT pipelines.
• workspace: A deployment focused on your Databricks workspace, covering directories, secrets, and SQL warehouses.
• unity-catalog: A deployment targeting your Databricks account, including resources like groups, users, catalogs, and schemas.
• local-pipeline: A locally executable pipeline definition using Polars DataFrame engine for simplicity.

After you followed the installation instructions, open a command prompt and run the following command:

laktory quickstart 

You will be prompted with two simple questions:

• Desired template: Choose between workflows, workspace, unity-catalog and local-pipeline
• Infrastructure as Code backend: Select either terraform or pulumi (except for local-pipeline)

Once these are selected, Laktory will generate the stack.yaml file, file, which acts as the main entry point for declaring all your resources. The associated resources will also be created. Other than the stack.yaml file, you are free to organize folder structures and file names as you see fit—there’s no strict convention to follow.

Templates

• Workflows
• Workspace
• Unity Catalog
• Local Pipeline