Data Factory and Fabric Combined
Build practical capability in building end-to-end data integration and analytics solutions with Azure Data Factory and Microsoft Fabric through connectors, pipelines, dataflows, orchestration, lakehouse, warehouse, notebooks, real-time analytics, semantic models, governance, monitoring, security…
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Data Factory and Fabric Combined course develops practical, role-relevant capability in building end-to-end data integration and analytics solutions with Azure Data Factory and Microsoft Fabric through connectors, pipelines, dataflows, orchestration, lakehouse, warehouse, notebooks, real-time analytics, semantic models, governance, monitoring, security, performance, and deployment. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.
Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, secure working practices, and measurable outcomes.
The content is independently written for SkillDynamo using the supplied source page as the title, update-date, duration, and topic-alignment reference. Learners finish with an applied scenario, documented validation evidence, and a prioritized improvement plan.
What You Will Learn
- Explain and apply azure data factory architecture, connectors, datasets, pipelines, dataflows, and integration runtimes within Data Factory and Fabric Combined
- Configure, validate, and troubleshoot azure data factory architecture, connectors, datasets, pipelines, dataflows, and integration runtimes using security, quality, governance, and operational controls
- Explain and apply orchestration, parameters, incremental loads, transformation, monitoring, and error handling within Data Factory and Fabric Combined
- Configure, validate, and troubleshoot orchestration, parameters, incremental loads, transformation, monitoring, and error handling using security, quality, governance, and operational controls
- Explain and apply microsoft fabric lakehouse, warehouse, notebooks, real-time analytics, and semantic models within Data Factory and Fabric Combined
- Configure, validate, and troubleshoot microsoft fabric lakehouse, warehouse, notebooks, real-time analytics, and semantic models using security, quality, governance, and operational controls
- Explain and apply security, governance, performance, ci/cd, cost, troubleshooting, and end-to-end solution validation within Data Factory and Fabric Combined
- Configure, validate, and troubleshoot security, governance, performance, ci/cd, cost, troubleshooting, and end-to-end solution validation using security, quality, governance, and operational controls
SkillDynamo Training Approach
SkillDynamo delivers this Data Factory and Fabric Combined course through instructor-led demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, documentation, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 64 Hours
- Course Curriculum4 Items
- 1.1Data Factory and Fabric Combined — Lesson 1: Azure Data Factory Architecture, Connectors, Datasets, Pipelines, Dataflows, and Integration Runtimes960 Minutes
- 1.2Data Factory and Fabric Combined — Lesson 2: Orchestration, Parameters, Incremental Loads, Transformation, Monitoring, and Error Handling960 Minutes
- 1.3Data Factory and Fabric Combined — Lesson 3: Microsoft Fabric Lakehouse, Warehouse, Notebooks, Real-Time Analytics, and Semantic Models960 Minutes
- 1.4Data Factory and Fabric Combined — Lesson 4: Security, Governance, Performance, CI/CD, Cost, Troubleshooting, and End-to-End Solution Validation960 Minutes
SkillDynamo Expert Team
Instructor-led delivery focused on Data Factory and Fabric Combined with practical demonstrations, guided implementation, scenario analysis, validation, troubleshooting, and role-relevant improvement planning.
- Structured explanations and course-specific demonstrations
- Hands-on exercises, solution reviews, and evidence-based validation
- Security, governance, troubleshooting, and workplace transfer guidance
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