Creating a Power BI Datamart
Datamarts are the backbone of self-service analytics—and most organisations get them wrong. This course teaches you how to architect a Power BI datamart that actually scales, integrating cleanly with your data pipeline and delivering query performance that won’t frustrate your users.
AIU.ac Verdict: Ideal for BI developers and data analysts who need to move beyond ad-hoc reporting into structured, maintainable analytics infrastructure. The main limitation: it assumes foundational Power BI familiarity—if you’re brand new to the platform, start with basics first.
What This Course Covers
You’ll work through the complete datamart lifecycle: dimensional modelling principles, fact and dimension table design, and how to structure your data for both performance and usability. McSwiggan covers practical schema patterns, relationship configuration, and the trade-offs between normalisation and denormalisation in a BI context.
The course emphasises real-world constraints: how to handle slowly changing dimensions, manage incremental loads, and optimise for the queries your business actually runs. You’ll see hands-on examples of connecting source systems, building staging layers, and validating data quality before it reaches your semantic model.
Who Is This Course For?
Ideal for:
- BI Developer: Building production datamarts and need a structured approach to schema design and performance tuning.
- Data Analyst: Graduating from spreadsheets to governed analytics infrastructure; ready to own data architecture decisions.
- Analytics Engineer: Bridging data engineering and analytics; need to understand datamart patterns that support both ETL and self-service BI.
May not suit:
- Power BI Beginner: No prior experience with Power BI, DAX, or data modelling; foundational courses should come first.
- Enterprise Data Architect: Designing multi-tenant, petabyte-scale systems; this course focuses on departmental datamarts, not enterprise data warehouses.
Frequently Asked Questions
How long does Creating a Power BI Datamart take?
1 hour 18 minutes. Designed for focused learning—you can complete it in one session or break it into two shorter blocks.
Do I need Power BI Desktop installed?
Yes. Pluralsight’s hands-on labs include sandboxes, but you’ll benefit most from following along in your own environment.
Will this teach me dimensional modelling from scratch?
The course assumes you understand basic dimensional concepts (facts, dimensions, slowly changing dimensions). If you’re new to these, review dimensional modelling fundamentals first.
Is this course vendor-agnostic or Power BI-specific?
It’s Power BI-specific—covering Power BI’s data model, relationships, and performance features. The dimensional design principles transfer to other platforms, but implementation details are Power BI-focused.
Course by Andrew McSwiggan on Pluralsight. Duration: 1h 18m. Last verified by AIU.ac: March 2026.
