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Databricks Professional

Enterprise Lakehouse Architecture

8 hours32 lessons Self-study
4.5 (25)
EE
Emmanuel Edegbo

Lead Data Engineer & Architect

About this course

Design enterprise lakehouse architectures with advanced security, CI/CD pipelines, cost governance, and multi-workspace patterns.

Datasets used

SalesPYRetail dataset loaded as Delta tables for transformation and aggregation work.
FinancePYCompliance dataset for monitoring and aggregation pipelines on the Lakehouse.

Tools you'll need

  • Databricks Community Edition or paid workspace
  • PySpark
  • SQL

What you get when you enrol

  • Lifetime access to every lesson, exercise, and update — including future revisions to this course.
  • 12-month Azure SQL practice access against the same datasets used in the course (read-only). Renews on request for active learners.
  • Auto-graded labs in your browser — write SQL, hit Run, get instant feedback against the expected result.
  • AI-graded Professional Challenges — open-ended scenarios reviewed against a published rubric, not just a single right answer.
  • Course discussion + community — talk to other learners and ask the instructor questions inside the course.
  • Basic Certificate on demonstrated capability — awarded when you complete every Hands-On Lab and Module Readiness Check, plus the Professional Challenges. Confirms you can write, run, and defend course-level SQL against real datasets.
  • Optional Advanced Certificate on completion of SQL Core multi-project— a separate credential awarded when you complete all three capstone projects, each independently assessed and approved by an instructor. Each project is end-to-end query engineering against a real brief with defined acceptance criteria — proves competence at a level an employer can actually evaluate. The Basic Certificate alone confirms course mastery; the Advanced Certificate confirms you can deliver.
  • Optional live training upgrade — instructor-led cohort sessions with capped capacity, sold separately.

What you'll learn

  • Design multi-workspace enterprise architectures
  • Implement CI/CD for Databricks with Azure DevOps
  • Configure advanced Unity Catalog security and lineage
  • Optimise cluster and job costs with governance frameworks
  • Build deterministic SCD Type 2 pipelines with surrogate keys
  • Complete an enterprise lakehouse architecture project

Who this is for

Data engineersData scientists

Prerequisites

  • Databricks Applied or strong intermediate Databricks skills

What learners say

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