Workspace
You'll learn how to create and schedule a Lakeflow Job using the Databricks Workspace in ~10 min.
Prereqs: Build the first pipeline
Why this matters
The Workspace is the fastest path to a running job. You can define tasks, set dependencies, configure a schedule, and monitor execution — all without writing configuration files. This is the recommended starting point before moving to DABs for production deployments.
How it works
The Databricks Workspace includes a Jobs page where you create workflows visually. You add tasks (notebooks, pipelines, SQL), define their execution order, set a schedule, and configure retry and notification settings.
Video walkthrough
When to use / when not to
Use the Workspace when:
- You are setting up your first job and want to see results quickly.
- You need to run an ad-hoc or one-off workflow.
- You want to prototype a task graph before defining it in code.
Use DABs instead when:
- The job needs to be version-controlled and deployed across environments.
- You want infrastructure (pipelines, schemas, compute) defined alongside the job.
Next
- Do next: Orchestration — DABs
- Learn why: Build the first pipeline
- Reference: Create and manage jobs — Databricks docs