ECONOMY

MICROSOFT SQL SERVER 2022 - IMPLEMENTING & DESIGNING AZURE DATA SOLUTIONS

The Microsoft SQL Server 2022 - Implementing & Designing Azure Data Solutions course is an advanced, architecture- and implementation-focused professional program designed to equip participants with the skills required to design, implement, integrate, and optimize modern data solutions on Microsoft Azure, using SQL Server 2022 as a core component within cloud and hybrid architectures.

Built on data and cloud technologies from Microsoft, this course emphasizes end-to-end data solution design, covering data storage choices, integration patterns, security, scalability, performance, governance, and lifecycle management. Participants learn how to transform traditional SQL Server workloads into cloud-ready, resilient, and future-proof Azure data solutions.

The program is ideal for professionals responsible for data architecture, cloud data engineering, and enterprise solution design.

Course Objectives

By the end of this course, participants will be able to:

  • Design Azure-based data architectures using SQL Server 2022

  • Implement secure and scalable data solutions on Azure

  • Select appropriate Azure data services for different workloads

  • Integrate on-premises and cloud data platforms

  • Optimize performance, availability, and cost

  • Produce professional Azure data solution designs

Course Curriculum

1

    • Modern data platform concepts
    • Role of SQL Server in Azure data architectures
    • Cloud, hybrid, and multi-tier data solutions
    • Design vs implementation responsibilities

2

  • Business and technical requirements gathering
  • Workload classification (OLTP, analytics, reporting)
  • Availability, performance, and security requirements
  • Risk and constraint identification

3

  • Azure data architecture patterns
  • Logical and physical data design
  • Choosing appropriate Azure data services
  • Designing for scalability and resilience

4

  • SQL Server deployment models in Azure (overview)
  • Connectivity and integration considerations
  • Hybrid SQL Server architectures
  • Modernization and migration concepts

5

  • Data storage design principles
  • Structuring data for performance and growth
  • Managing structured and semi-structured data
  • Capacity and lifecycle planning

6

  • Data ingestion patterns
  • Batch vs near-real-time integration
  • Data transformation concepts
  • Reliability and validation strategies

7

  • Identity and access design
  • Data protection and encryption principles
  • Network and connectivity security
  • Compliance and audit considerations

8

  • Performance architecture concepts
  • Managing concurrency and throughput
  • Scaling strategies for data workloads
  • Cost-performance optimization

9

  • Availability requirements analysis
  • Resiliency and failover concepts
  • Backup and recovery architecture
  • Testing and validation strategies

10

  • Designing data solutions for analytics
  • Optimizing data access for reporting workloads
  • Separating operational and analytical workloads
  • Data consumption patterns

11

  • Data governance frameworks
  • Data quality and consistency concepts
  • Metadata and documentation practices
  • Managing change and lifecycle

12

  • Monitoring Azure data solutions
  • Performance and usage tracking
  • Diagnostics and troubleshooting concepts
  • Proactive operational practices

13

  • Hybrid data architectures
  • Modernizing legacy SQL Server workloads
  • Supporting coexistence scenarios
  • Future-ready design principles

14

  • Design validation techniques
  • Performance and security reviews
  • Risk assessment and mitigation
  • Stakeholder review and sign-off

15

  • Designing an end-to-end Azure data solution
  • Implementing secure and scalable architectures
  • Evaluating architectural trade-offs
  • Real-world enterprise case studies

16

  • Data architects and data engineers
  • SQL Server professionals moving to Azure
  • Cloud solution architects
  • BI and analytics platform engineers

17

  • Strong understanding of SQL Server concepts
  • Familiarity with relational databases
  • Basic knowledge of cloud computing principles

This course includes

  • 17+ Activity Modules
  • 40 hours + lessons
  • Lifetime access
  • Certificate of completion
  • Available on desktop and mobile

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