20776A : Performing Big Data Engineering on Microsoft Cloud Services
Build practical skills in engineering big-data solutions on Microsoft cloud services through distributed storage, ingestion, transformation, batch and streaming processing, analytical serving, security, monitoring, and optimization 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
This SkillDynamo course develops practical, role-relevant capability in engineering big-data solutions on Microsoft cloud services through distributed storage, ingestion, transformation, batch and streaming processing, analytical serving, security, monitoring, and optimization. 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. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.
The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.
What You Will Learn
- Explain and apply big data architecture, storage and microsoft cloud services within a practical 20776A : Performing Big Data Engineering on Microsoft Cloud Services scenario
- Validate big data architecture, storage and microsoft cloud services using documented requirements, configuration evidence, quality checks, risks, and measurable outcomes
- Explain and apply batch ingestion, transformation and distributed processing within a practical 20776A : Performing Big Data Engineering on Microsoft Cloud Services scenario
- Validate batch ingestion, transformation and distributed processing using documented requirements, configuration evidence, quality checks, risks, and measurable outcomes
- Explain and apply streaming data, event processing and analytical serving within a practical 20776A : Performing Big Data Engineering on Microsoft Cloud Services scenario
- Validate streaming data, event processing and analytical serving using documented requirements, configuration evidence, quality checks, risks, and measurable outcomes
- Explain and apply security, monitoring, performance and operational readiness within a practical 20776A : Performing Big Data Engineering on Microsoft Cloud Services scenario
- Validate security, monitoring, performance and operational readiness using documented requirements, configuration evidence, quality checks, risks, and measurable outcomes
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
- 40 Hours
- Course Curriculum4 Items
- 1.120776A : Performing Big Data Engineering on Microsoft Cloud Services — Lesson 1: Big Data Architecture, Storage and Microsoft Cloud Services10 hours
- 1.220776A : Performing Big Data Engineering on Microsoft Cloud Services — Lesson 2: Batch Ingestion, Transformation and Distributed Processing10 hours
- 1.320776A : Performing Big Data Engineering on Microsoft Cloud Services — Lesson 3: Streaming Data, Event Processing and Analytical Serving10 hours
- 1.420776A : Performing Big Data Engineering on Microsoft Cloud Services — Lesson 4: Security, Monitoring, Performance and Operational Readiness10 hours
SkillDynamo Expert Team
Instructor-led delivery focused on 20776A : Performing Big Data Engineering on Microsoft Cloud Services with practical demonstrations, implementation guidance, validation, and troubleshooting.
- Structured explanations and role-focused demonstrations
- Applied exercises, scenario analysis, and solution reviews
- Course-specific validation, support, and improvement guidance
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