Learning Modules

Structured learning modules for Databricks Asset Bundles (DABs). Each module builds on the previous one, starting from a basic “Hello World” deployment and progressing to advanced workflow orchestration patterns.

Before you begin, make sure you’ve completed the Prerequisites and Local Setup.

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#	Module	Description	Tech Stack
01	01. Introduction to DABs	Set up your local environment and deploy your first Hello World Databricks Asset Bundle	DABs, YAML, Python
02	02. Job with Parameters	Define job parameters and pass dynamic values into a PySpark script at runtime	DABs, YAML, PySpark
03	03. Schedule a Job	Automate job execution with Quartz cron expressions and deploy notebooks as Python files	DABs, YAML, Python
04	04. File Trigger	Trigger a job automatically when a new file lands in a Unity Catalog Volume	DABs, YAML, Unity Catalog
05	05. Table Update Trigger	Trigger a job automatically when a Delta Table is updated	DABs, YAML, Delta Lake
06	06. Run Multiple Tasks	Build a Directed Acyclic Graph (DAG) with parallel tasks and sequential dependencies	DABs, YAML, Python
07	07. Task Parameters	Pass dynamic values from an upstream task to multiple downstream tasks using taskValues	DABs, YAML, Python
08	08. Conditional Execution	Implement success and failure routing using the run_if parameter	DABs, YAML, Python
09	09. SQL Tasks with Variable Lookup	Execute raw SQL files on a SQL Warehouse and resolve infrastructure IDs dynamically using lookup	DABs, YAML, SQL
10	10. SQL Alerts	Provision SQL Alerts and trigger them from a Workflow using alert_task	DABs, YAML, SQL
11	11. Run dbt on Databricks	Orchestrate a dbt Core project natively in Databricks Workflows using the dbt_task type	DABs, YAML, dbt, SQL
12	12. Create a Pipeline	Provision a Serverless Delta Live Tables pipeline with Bronze and Silver layers	DABs, YAML, DLT, Python
13	13. Advanced Orchestration	Build a master orchestrator that triggers a notebook, a DLT pipeline, and a child job in a single workflow	DABs, YAML, DLT, Python