Microsoft Fabric Mastery - Visual Guide
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.94 GB | Duration: 5h 58m
Learn Microsoft Fabric, OneLake, Data Engineering, Warehousing, Power BI, AI, Governance, and Enterprise Analytics
Understand Microsoft Fabric architecture, OneLake, workspaces, capacities, and unified analytics concepts
Build enterprise data engineering, warehousing, AI, and Power BI solutions using Microsoft Fabric
Design scalable lakehouse, warehouse, governance, and real-time analytics architectures in Fabric
Implement Data Factory pipelines, OneLake shortcuts, semantic models, AI workflows, and enterprise best practices
Understand enterprise governance, security, monitoring, and operational strategies in Microsoft Fabric
Work with Fabric Data Science, MLflow, notebooks, Spark, and AI-powered analytics workflows
Choose the right Fabric workloads for data integration, reporting, machine learning, and real-time analytics
Modernize enterprise analytics platforms using Microsoft Fabric and OneLake architecture
Requirements
No prior Microsoft Fabric experience is required. This course explains concepts from beginner to advanced levels
Basic familiarity with data analytics, databases, or cloud computing is helpful but not mandatory
A Microsoft Fabric trial account or Power BI account is recommended for hands-on practice
An interest in data engineering, analytics, AI, Power BI, or enterprise cloud architecture
Optional familiarity with SQL, Power BI, Azure, or Python can help with advanced sections
Description
This course contains the use of artificial intelligence.Microsoft Fabric is transforming enterprise analytics, AI, data engineering, governance, and business intelligence.Instead of managing disconnected systems for ETL, warehousing, machine learning, reporting, real-time analytics, governance, and data engineering, Microsoft Fabric unifies everything into one modern cloud-native analytics platform built around OneLake.This comprehensive course provides a complete enterprise-focused visual guide to Microsoft Fabric architecture, workloads, governance, AI integration, and modern analytics platform design.You will learn how Microsoft Fabric combines:OneLakeLakehouse ArchitectureData EngineeringData FactoryData WarehouseReal-Time IntelligencePower BISemantic ModelsAI & Machine LearningGovernance & SecurityEnterprise Analyticsinto one connected ecosystem.This course is designed for
ata EngineersBI DevelopersCloud ArchitectsData ScientistsSQL ProfessionalsAnalytics LeadersEnterprise IT TeamsMicrosoft Platform ProfessionalsThroughout the course, you will learn:Microsoft Fabric fundamentalsOneLake architecture and shortcutsData Factory pipelines and ETL/ELTLakehouse and warehouse designReal-Time Intelligence and EventhouseSpark, notebooks, and MLflowAI-powered analytics workflowsGovernance and security best practicesPower BI integration and semantic modelsEnterprise modernization strategiesCapacity planning and operational best practicesThis is not a short feature overview or certification cram course.It is a practical enterprise architecture guide designed to help you understand how Microsoft Fabric works in real-world analytics environments.Whether you are new to Microsoft Fabric or designing enterprise-scale analytics platforms, this course will help you build a strong foundation in modern unified analytics and AI architecture.Note: This course includes AI-assisted visual narration and avatar-based presentation technology to support consistent content delivery. All technical instruction, architecture guidance, and educational material were created and reviewed by the instructor.
Data Engineers who want to learn Microsoft Fabric and modern enterprise data platform architecture,Power BI Developers and BI Analysts looking to understand OneLake, semantic models, and Fabric integration,Cloud Architects and IT Professionals designing scalable analytics and AI platforms,Data Scientists and AI Engineers interested in governed enterprise AI workflows using Fabric,SQL Developers, Warehouse Engineers, and Analytics Teams modernizing legacy analytics environments,Students and technology professionals transitioning into modern cloud analytics and Microsoft Fabric