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Il y a 5 modules dans ce cours
This course focuses on enterprise-level Power BI implementation, covering data integration with Azure services, security measures, governance frameworks, and deployment strategies. Participants will learn to implement Row-Level Security, manage tenant settings, establish governance models, and create deployment pipelines. The course also explores collaborative development workflows and integration with Microsoft Fabric and other Azure data services, preparing learners to implement comprehensive analytics solutions at scale.
Through hands-on learning, participants will master the design of scalable Power BI architectures tailored to enterprise requirements. The curriculum emphasizes strategic decision-making in selecting optimal deployment models, structuring workspaces for maximum efficiency, and organizing content to support organizational workflows. Learners will gain practical experience integrating Power BI with collaboration platforms like SharePoint and Microsoft Teams, enabling seamless analytics access across the organization. A key focus is establishing robust environment management practices, including the configuration of separate development, testing, and production environments to ensure reliable, controlled deployments. Designed for intermediate-level business intelligence professionals, data analysts, and BI specialists with foundational SQL and visualization skills, this course enables participants to advance from basic Power BI use to enterprise-scale architecture and deployment. By course completion, participants will possess the expertise to architect and implement enterprise-grade Power BI solutions that align with business objectives and scale effectively.
Successful enterprise analytics requires thoughtful architecture that balances scalability, security, and usability across large organizations. This foundational module establishes your expertise in designing Power BI solutions that serve hundreds or thousands of users while maintaining performance and governance. You'll learn to plan workspace structures that align with organizational hierarchies, evaluate Premium capacity requirements, and integrate seamlessly with Microsoft 365 environments. Through comprehensive architecture planning, you'll develop the strategic thinking needed to implement Power BI solutions that grow with your organization and support diverse analytical needs.
Inclus
8 vidéos4 lectures9 devoirs4 laboratoires non notés
Afficher les informations sur le contenu du module
8 vidéos•Total 34 minutes
Power BI in the Enterprise•3 minutes
Mapping the Enterprise BI Landscape•7 minutes
Organizing for Scale•3 minutes
Implementing Workspace Hierarchies•6 minutes
The Business Case for Premium•3 minutes
Premium Capacity Administration•6 minutes
Seamless Analytics Integration•3 minutes
Power BI in Microsoft Teams•5 minutes
4 lectures•Total 75 minutes
Enterprise Analytics Architecture•20 minutes
Workspace Planning Strategies•15 minutes
Premium Capacity Fundamentals•20 minutes
Microsoft 365 Integration Options•20 minutes
9 devoirs•Total 315 minutes
Enterprise Power BI Architecture•30 minutes
Architecture Requirements Analyzer•90 minutes
Enterprise Architecture Concepts•15 minutes
Workspace Planning Tool•60 minutes
Workspace Organization•15 minutes
Capacity Calculator•30 minutes
Premium Capacity Concepts•15 minutes
Teams Integration Assistant•40 minutes
Microsoft 365 Integration•20 minutes
4 laboratoires non notés•Total 95 minutes
Enterprise Architecture Design•25 minutes
Multi-Department Workspace Design•25 minutes
Premium Capacity Configuration•20 minutes
Microsoft 365 Integration Challenge•25 minutes
Security and Governance
Module 2•12 heures à terminer
Détails du module
In enterprise environments, data security and governance aren't optional—they're fundamental requirements that can make or break an analytics initiative. This critical module provides you with the knowledge and skills to implement comprehensive security models that protect sensitive data while enabling self-service analytics. You'll master Row-Level Security implementation, object-level permissions, and governance frameworks that balance control with agility. Through tenant settings and sensitivity labels, you'll learn to enforce organizational policies at scale, ensuring your Power BI deployment meets the highest standards of data protection and regulatory compliance.
Inclus
8 vidéos5 lectures9 devoirs3 laboratoires non notés
Afficher les informations sur le contenu du module
8 vidéos•Total 31 minutes
Securing Data at Scale•3 minutes
Implementing RLS with DAX•5 minutes
Building a Security Hierarchy•3 minutes
Configuring Access Permissions•5 minutes
Why Governance Matters•2 minutes
Implementing Governance Controls•5 minutes
Securing the Power BI Environment•3 minutes
Configuring Tenant Security Settings•5 minutes
5 lectures•Total 95 minutes
Row-Level Security Fundamentals•15 minutes
Hands-on – Multi-Role Security •30 minutes
Object-Level Security in Power BI•15 minutes
Power BI Governance Framework•15 minutes
Power BI Tenant Administration•20 minutes
9 devoirs•Total 525 minutes
Security and Governance•30 minutes
Dynamic RLS Expressions•90 minutes
RLS Implementation•15 minutes
Permission Mapping Tool•90 minutes
Object Security Concepts•20 minutes
Governance Documentation Generator•120 minutes
Governance Concepts•20 minutes
Security Audit Tool•120 minutes
Tenant Security Settings•20 minutes
3 laboratoires non notés•Total 90 minutes
Security Model Implementation•30 minutes
Governance Framework Development•30 minutes
Security Configuration Challenge•30 minutes
Deployment Pipelines and DevOps Integration
Module 3•9 heures à terminer
Détails du module
Professional Power BI development requires structured deployment processes that ensure quality, reduce errors, and enable collaborative development. This module introduces you to enterprise-grade development practices that bring software engineering discipline to business intelligence. You'll learn to implement deployment pipelines that move content smoothly from development to production, while version control strategies enable effective team collaboration. Through automated deployments and refresh management, you'll create reliable, maintainable solutions that support continuous improvement and rapid response to changing business needs.
Inclus
8 vidéos6 lectures9 devoirs2 laboratoires non notés
Afficher les informations sur le contenu du module
Deployment Pipelines and DevOps Integration•30 minutes
Pipeline Configuration Helper•60 minutes
Deployment Pipeline Concepts•15 minutes
Version Control Workflow Assistant•60 minutes
Version Control Concepts•20 minutes
Deployment Script Generator•60 minutes
Deployment Automation•20 minutes
Refresh Monitoring Tool•60 minutes
Refresh Management•15 minutes
2 laboratoires non notés•Total 60 minutes
Multi-Stage Pipeline Implementation•25 minutes
Refresh Strategy Challenge•35 minutes
Azure and Fabric Integration
Module 4•10 heures à terminer
Détails du module
The future of enterprise analytics lies in comprehensive data platforms that integrate multiple technologies for end-to-end solutions. This forward-looking module positions you at the cutting edge of modern analytics architecture through deep integration with Azure and Microsoft Fabric. You'll learn to connect Power BI with Azure data services, implement Microsoft Fabric workflows, and create enterprise-grade dataflows for standardized data preparation. Through streaming analytics capabilities, you'll extend your solutions to real-time scenarios, creating comprehensive platforms that serve both historical analysis and operational intelligence needs.
Inclus
8 vidéos6 lectures9 devoirs2 laboratoires non notés
Afficher les informations sur le contenu du module
Dataflow Architecture and Implementation•20 minutes
Streaming Analytics Options•15 minutes
9 devoirs•Total 365 minutes
Azure and Fabric Integration•30 minutes
Azure Integration Concepts•20 minutes
Azure Integration Challenge•60 minutes
Fabric Integration•20 minutes
Fabric End-to-End Implementation•75 minutes
Dataflow Concepts•20 minutes
Dataflow Development•60 minutes
Streaming Analytics Concepts•20 minutes
Streaming Dashboard Implementation•60 minutes
2 laboratoires non notés•Total 90 minutes
Dataflow Optimization Tool•30 minutes
Streaming Data Simulator•60 minutes
Collaboration and Embedded Analytics
Module 5•14 heures à terminer
Détails du module
Enterprise Power BI success depends on effective collaboration. It also relies on the ability to bring analytics directly into business processes. This culminating module focuses on advanced implementation patterns that maximize the value of your analytics investments. You'll learn to establish collaborative development workflows that enable teams to work effectively together, while content sharing strategies ensure insights reach the intended audiences. Through dataflow sharing and embedded analytics, you'll create integrated solutions that seamlessly blend into existing business applications, making analytics a natural part of daily operations rather than a separate activity.
Inclus
8 vidéos5 lectures10 devoirs3 laboratoires non notés
Afficher les informations sur le contenu du module
8 vidéos•Total 25 minutes
Building a BI Team•2 minutes
Implementing Development Workflows•4 minutes
Strategic Content Distribution•2 minutes
Configuring Distribution Settings•4 minutes
The Power of Reusable Data•3 minutes
Configuring Shared Dataflows•4 minutes
Analytics Everywhere•3 minutes
Implementing Embedded Analytics•4 minutes
5 lectures•Total 100 minutes
Collaborative Power BI Development•15 minutes
Hands-on – Collaboration Process Template•25 minutes
Power BI Distribution Options•20 minutes
Enterprise Dataflow Strategies•20 minutes
Embedded Analytics Fundamentals•20 minutes
10 devoirs•Total 635 minutes
Collaboration and Embedded Analytics•30 minutes
Enterprise Analytics Solution•300 minutes
Collaboration Concepts•20 minutes
Team Development Challenge•45 minutes
Distribution Strategy Helper•60 minutes
Distribution Methods•20 minutes
Dataflow Dependency Mapper•60 minutes
Dataflow Sharing Concepts•20 minutes
Embedding Configuration Helper•60 minutes
Embedding and AI Concepts•20 minutes
3 laboratoires non notés•Total 105 minutes
Multi-Channel Distribution•30 minutes
Shared Dataflow Implementation•45 minutes
Embedded Analytics •30 minutes
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