Power Automate for Azure Data Engineers
Build practical skills in orchestrating Azure data-engineering activities with Power Automate, secure connectors, approvals, monitoring, and reliable operational workflows through four structured lessons with demonstrations, hands-on activities, troubleshooting, validation checklists, and an applied improvement plan.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Power Automate for Azure Data Engineers course develops practical, role-relevant capability in orchestrating Azure data-engineering activities with Power Automate, secure connectors, approvals, monitoring, and reliable operational workflows. The learning path progresses from planning and essential concepts to implementation, validation, troubleshooting, and operational use.
Learners work through realistic scenarios, instructor-led demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.
The course helps professionals build dependable skills, explain their decisions, identify failure points, and create an actionable improvement plan that can be applied to future projects.
What You Will Learn
- Map data-engineering events, triggers, dependencies, users, and expected outcomes
- Select Azure, Microsoft 365, HTTP, database, and storage connector patterns
- Plan environments, identities, permissions, connection references, and DLP boundaries
- Trigger data-processing activities from schedules, events, forms, and service requests
- Coordinate Azure Data Factory, storage, databases, APIs, and notification services
- Use conditions, expressions, variables, loops, child flows, and reusable actions
- Create approval, validation, escalation, and exception-handling patterns
- Transform JSON, arrays, files, metadata, and operational status information
SkillDynamo Training Approach
SkillDynamo delivers this course through 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, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 32 Hours
- Course Curriculum4 Items
- 1.1Power Automate for Azure Data Engineers — Lesson 1: Azure Data Automation Architecture8 hours
- 1.2Power Automate for Azure Data Engineers — Lesson 2: Data Pipeline Orchestration8 hours
- 1.3Power Automate for Azure Data Engineers — Lesson 3: Approvals, Exceptions, and Data Operations8 hours
- 1.4Power Automate for Azure Data Engineers — Lesson 4: Monitoring, Security, and Production Readiness8 hours
SkillDynamo Expert Team
This course is delivered by the SkillDynamo Expert Team using instructor-led demonstrations, guided practice, hands-on exercises, scenario analysis, structured troubleshooting, validation checklists, and workplace-focused improvement planning.
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