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Microsoft Fabric Data Engineering: Advanced Lakehouse Architecture, Pipelines, and Spark Optimisation

Elevate your data engineering skills by mastering advanced lakehouse architectures and Spark optimization techniques.

3 days Intermediate Online Live, Classroom, Blended, In-Company, Private 1-to-1 English, French
On Request

Course Guaranteed to Run

Course guaranteed to run. If only one participant registers, the course is converted into private flexible 1-to-1 training and consulting.

Why This Course Matters

The Business Problem We Solve

Most organizations struggle to leverage their data effectively due to inefficient architecture, monolithic ETL patterns, and inadequate pipeline designs. This course addresses these challenges by teaching participants to build scalable and maintainable data platforms using the Microsoft Fabric lakehouse architecture. Participants will learn how to design production-grade solutions that not only perform optimally but are also governed and monitored appropriately, setting them up for success in their data initiatives.

Who This Course Is Built For

Senior data engineers Lakehouse architects Platform engineers Data engineering team leads

Who Should Attend

Senior data engineers building production-grade Fabric solutions.
Lakehouse architects looking to design advanced architectures.
Platform engineers involved in optimizing data platforms.

What You Will Be Able to Do

  • Design a production-grade medallion architecture in Microsoft Fabric
  • Implement advanced Data Factory pipelines and optimize PySpark workloads
  • Secure and govern Fabric Lakehouse environments effectively

Programme

Practical Exercises & Labs

  • Design and implement a 3-layer medallion architecture.
  • Build a parameterised Data Factory pipeline that handles incremental loads.
  • Profile and optimize a PySpark transformation pipeline using Spark UI.

Practical Deliverables

Participants will receive a Production Engineering Checklist covering Delta table configuration and PySpark optimization decisions.
A tested CI/CD pipeline template for Microsoft Fabric.

Teaching Methods

Theory & Demonstration
Guided Hands-On Labs
Group Discussions

Certification & Exam Alignment

Certification alignment: DP-700 — Microsoft Fabric Data Engineer Associate (full direct preparation)

This course provides full preparation for the DP-700 exam, which is administered independently at Pearson VUE. DanAf provides exam readiness support post-course completion.

The exam is not automatically included unless explicitly stated. The exam may be administered independently by the relevant certification body or testing provider.

Prerequisites

Solid understanding of data engineering concepts. Experience with PySpark or SQL for data transformation. Familiarity with data lake patterns. Microsoft Fabric trial access with Fabric capacity (F2 or above recommended).

Assessment

Hands-on project to design and implement a complete production-grade Fabric Lakehouse platform.

Delivery Options

Online Live
Classroom
Blended
In-Company
Private 1-to-1

Upcoming Sessions

No upcoming sessions scheduled.

Request a date or private session.

FAQ

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