Implement Data Engineering Solutions with Microsoft Fabric
Implement Data Engineering Solutions with Microsoft Fabric
Source
- Provider: Microsoft
- Platform: Microsoft Learn
- Source title: Implement Data Engineering Solutions with Microsoft Fabric
- Source URL: https://learn.microsoft.com/en-us/training/paths/implement-data-engineering-solutions-with-microsoft-fabric/
- Content type: Multi-Module Learning Path
- Target Exam: Exam DP-700: Implementing Data Engineering Solutions using Microsoft Fabric
- Date captured: 2026-08-15
- Last reviewed: 2026-08-15
Overview
This is the primary official learning path for Exam DP-700. It covers end-to-end data engineering lifecycle on Microsoft Fabric, including Lakehouse and Warehouse architectures, PySpark transformations, Delta Lake storage optimizations, Data Factory orchestration, and Real-Time Intelligence.
Sub-Units & Modules in Track
- Get Started with Lakehouses in Microsoft Fabric
- Use Apache Spark in Microsoft Fabric
- Work with Delta Lake Tables in Microsoft Fabric
- Organize a Fabric Lakehouse using Medallion Architecture Design
- Ingest Data with Dataflows Gen2 in Microsoft Fabric
- Use Data Factory Pipelines in Microsoft Fabric
- Implement Data Pipelines with Apache Airflow in Fabric
- Get Started with Real-Time Intelligence in Microsoft Fabric
- Ingest Real-Time Data with Eventstreams in Microsoft Fabric
- Query and Transform Data in KQL Databases
- Implement Security and Governance for Fabric Data Engineering
- Configure OneLake Shortcuts and Data Sharing
- Monitor and Optimize Data Engineering Workloads in Fabric
- Manage Capacity and Performance in Microsoft Fabric
- Mirror Databases in Microsoft Fabric