Automate your data, analytics, and AI workflows with the Deploy Workloads with Lakeflow Jobs course. Learn to use Lakeflow Jobs as a unified orchestration platform to build robust, production-ready pipelines natively within the Databricks Data Intelligence Platform.
What you’ll learn
- DAG Implementation: Design data workloads using Directed Acyclic Graphs (DAGs) to manage tasks and dependencies
- Scheduling & Triggers: Configure manual, scheduled, file arrival, and continuous triggers for automation
- Advanced Workflows: Use conditional task execution, run-if dependencies, for-each loops, and repair runs for fault-tolerant design
- Production Best Practices: Apply modular orchestration, proper compute selection, and error handling techniques
Who should take this course?
This course is designed for those who:
- Have completed "Get Started with Databricks for Data Engineering" or have equivalent platform experience
- Are comfortable with Python/PySpark and Intermediate SQL
- Understand core concepts like Spark, Delta Lake, the Medallion Architecture, and Unity Catalog
Course format & details
- Syllabus: 4 Sections | 21 Lessons
- Duration: 2 hours
- Skill Level: Associate
- Cost: FREE
