DP-700T00: Microsoft Fabric Data Engineer
Develop practical, source-aligned skills in designing, implementing, securing, monitoring, and optimizing data-engineering solutions on Microsoft Fabric through four structured SkillDynamo lessons, guided activities, scenario analysis, validation, and role-relevant best practices.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s DP-700T00: Microsoft Fabric Data Engineer training develops practical, source-aligned skills in designing, implementing, securing, monitoring, and optimizing data-engineering solutions on Microsoft Fabric.
The 32 Hours curriculum is independently rewritten into four detailed lessons. Learners progress from foundations and requirements to implementation, security and operations, troubleshooting, scenario validation, and certification-aligned review.
What You Will Learn
- Microsoft Fabric data-engineering architecture, OneLake, and workspace design
- Lakehouses, Delta tables, notebooks, Spark, and data exploration
- Batch ingestion, Data Factory pipelines, dataflows, and orchestration
- Streaming and real-time ingestion patterns in Microsoft Fabric
- Data transformation, medallion architecture, and reusable engineering assets
- Security, governance, sensitivity, permissions, and data-quality controls
SkillDynamo Training Approach
Instructor-guided explanations, demonstrations, hands-on planning activities, platform-specific scenarios, validation checklists, troubleshooting discussions, and a final improvement roadmap.
Curriculum
- 1 Section
- 4 Lessons
- 32 Hours
- Course Curriculum4 Items
- 1.1DP-700 Lesson 1: Fabric Data Engineering Architecture and OneLake8 Hours
- 1.2DP-700 Lesson 2: Ingest and Transform Batch and Streaming Data8 Hours
- 1.3DP-700 Lesson 3: Secure, Govern, and Operate Fabric Data Solutions8 Hours
- 1.4DP-700 Lesson 4: Optimize, Deploy, and Validate Production Workloads8 Hours
SkillDynamo Expert Team
SkillDynamo Expert Team
Instructor-led delivery focused on the verified scope of DP-700T00: Microsoft Fabric Data Engineer, with practical Microsoft platform guidance, demonstrations, scenarios, validation, and troubleshooting.
- Structured explanations and role-focused demonstrations
- Applied exercises and solution reviews
- Course-specific validation and improvement guidance
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