Learning Series | Build Data Pipelines with Lakeflow Spark Declarative Pipelines

Tushar_Parekar — Fri, 17 Apr 2026 14:03:04 GMT

Databricks Academy offers Build Data Pipelines with Lakeflow Spark Declarative Pipelines, a course on the core concepts of Lakeflow Spark Declarative Pipelines on the Databricks Data Intelligence Platform, taught with a simple, SQL-based approach (with Python code examples provided).

You’ll learn to:

Build incremental batch and streaming pipelines with Lakeflow Spark Declarative Pipelines
Combine streaming tables, materialized views, and temporary views to power end-to-end pipelines
Configure compute, data assets, trigger modes, and data quality expectations
Use event logs, metrics, and AUTO CDC INTO to monitor pipelines and handle slowly changing dimensions

Designed for:

Data engineers building or maintaining data pipelines on Databricks
Learners with Databricks basics (workspaces, Delta Lake, Medallion Architecture, Unity Catalog)
SQL users with experience in ingesting data into Delta tables

Course format & details:

Syllabus: 3 Sections | 22 Lessons
Duration: 2 hours 00 minutes
Skill Level: Associate
Cost: Free

🔗 Enroll Now 👈

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Learning Series | Build Data Pipelines with Lakeflow Spark Declarative Pipelines