Modernizing Data Analytics with SQL Server 2019 – Microsoft Cloud Workshop(40565)

Course Description

Modernizing Data Analytics with SQL Server 2019 – Microsoft Cloud Workshop(40565) develops practical, role-relevant capability in modernizing analytics with SQL Server 2019, cloud-connected data architecture, machine learning, real-time insight, and workshop-based solution design. The course connects important platform concepts with implementation decisions, operational controls, and realistic workplace scenarios.

Learners progress through four structured lessons aligned to the current source course focus. The learning path emphasizes accurate configuration or development, secure practices, reliable operations, collaboration, and evidence-based troubleshooting.

By completing the course, learners can apply the skills to role-specific tasks, review results against clear acceptance criteria, and create a practical improvement plan for continued development.

What You Will Learn

• Assess workloads, data sources, latency, scale, security, and business outcomes
• Identify limitations in legacy reporting, integration, and analytical architecture
• Define modernization priorities, constraints, dependencies, and acceptance criteria
• Design SQL Server 2019 components for ingestion, storage, processing, and serving
• Evaluate big data, virtualization, machine learning, and real-time analytics options
• Map identity, networking, availability, governance, and operational dependencies
• Plan a proof of concept with representative data, workloads, users, and success measures
• Build or simulate ingestion, transformation, analysis, and reporting flows

SkillDynamo Training Approach

SkillDynamo delivers this Modernizing Data Analytics with SQL Server 2019 – Microsoft Cloud Workshop(40565) course through instructor-led demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, evidence-based reviews, and a final improvement plan linked to practical workplace outcomes.