Databricks Lakeflow Jobs

Lakeflow Jobs is a workflow automation solution for Databricks, providing orchestration for data processing workloads to coordinate and run multiple tasks as part of a larger workflow. You can optimise and schedule the execution of frequent, repeatable tasks and manage complex workflows.

What are Jobs? (The way to orchestrate your work)

In Databricks, a job is used to schedule and orchestrate tasks within a workflow. Common data processing workflows include ETL workflows, running notebooks, and machine learning (ML) workflows, as well as integrating with external systems like dbt.

Jobs consist of one or more tasks, and support custom control flow logic like branching (if / else statements) or looping (for each statements) using a visual authoring UI. Tasks can load or transform data in an ETL workflow, or build, train and deploy ML models in a controlled and repeatable way as part of your machine learning pipelines.

DAG( Directed acyclic graph): Build a graph that redirects to the next task.

Orchestration concepts

There are three main concepts when using Lakeflow Jobs for orchestration in Databricks: jobs, tasks, and triggers.

Job — A job is the primary resource for coordinating, scheduling, and running your operations. Jobs can vary in complexity…