Microsoft Azure Big Data Analytics

Course Description

This SkillDynamo course develops practical, role-relevant capability in designing batch and real-time big-data analytics solutions on Azure with ingestion, processing, orchestration, security, automation, and operations. 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

• Define sources, volume, velocity, variety, quality, retention, users, business questions, and service-level requirements
• Design batch ingestion, storage, partitioning, processing, data zones, transformations, and analytical outputs
• Design event ingestion, partitioning, windows, state, late data, transformations, alerts, and real-time outputs
• Select suitable Azure streaming, messaging, compute, and analytical services for operational scenarios
• Create pipelines, datasets, linked services, parameters, triggers, dependencies, retries, and monitoring
• Plan environments, CI/CD, infrastructure, secrets, testing, release, rollback, and operational ownership
• Use PowerShell and automation for deployment, administration, repeatable operations, and evidence collection
• Apply identity, network, encryption, permissions, logging, performance, cost, and support controls

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.