This Microsoft Fabric training is designed to help participants master Microsoft Fabric as an end-to-end data and analytics platform that unifies data engineering, data integration, data science, real-time analytics, and business intelligence. The course covers Microsoft Fabric architecture, OneLake, data ingestion, data engineering workflows, lakehouse and warehouse concepts, real-time analytics, and integration with Power BI. Participants will gain hands-on experience to build modern, unified analytics solutions on Microsoft Fabric.

• Understand the architecture, core components, and unified analytics capabilities of Microsoft Fabric.
• Work with data ingestion, storage, transformation, and processing across Fabric workloads.
• Build and manage data pipelines, lakehouses, warehouses, and real-time analytics solutions.
• Perform data modeling, analytics, and visualization using integrated Fabric tools and Microsoft Power BI.
• Implement data governance, security, workspace management, and collaboration features.
• Develop end-to-end modern data and business intelligence solutions using Microsoft Fabric best practices.

 • Data engineers and analytics engineers
 • BI and analytics professionals
 • Data architects and platform engineers
 • Data scientists and advanced analysts
 • Organizations adopting Microsoft Fabric

 • Basic understanding of data concepts and databases
 • Familiarity with SQL is helpful
 • Experience with Power BI or Azure data services is beneficial

 • Understanding Microsoft Fabric architecture and components
 • Working with OneLake and unified data storage
 • Building data ingestion and transformation pipelines
 • Creating lakehouse and warehouse solutions
 • Implementing real-time analytics
 • Integrating Power BI with Fabric
 • Managing security and governance basics
 • Designing end-to-end analytics solutions

By the end of this training, participants will be able to design and implement end-to-end analytics solutions using Microsoft Fabric with confidence. Learners will gain strong skills in unified data architecture, lakehouse and warehouse design, real-time analytics, and Power BI integration, enabling them to deliver modern, scalable analytics platforms.

Introduction to Microsoft Fabric & Unified Analytics
 • What is Microsoft Fabric and its value proposition
 • Microsoft Fabric architecture overview
 • OneLake and unified data storage concepts
 • Navigating Microsoft Fabric workspace

Data Ingestion & Integration
 • Using Data Factory in Fabric
 • Building data pipelines
 • Connecting to cloud and on-prem sources
 • Scheduling and monitoring data ingestion

Lakehouse Fundamentals
 • Creating lakehouses
 • Working with Delta tables
 • Managing files and tables
 • Querying lakehouse data

Data Engineering Workflows
 • Transforming data using notebooks
 • Using Spark in Fabric
 • Data cleansing and transformations
 • Managing data engineering projects

Warehouse & SQL Analytics
 • Fabric data warehouse concepts
 • Creating and querying warehouses
 • Using T-SQL in Fabric
 • Managing performance and optimization

Real-Time Analytics & Event Streams
 • Introduction to real-time analytics in Fabric
 • Working with event streams
 • Streaming data ingestion basics
 • Querying real-time data

Data Science in Microsoft Fabric
 • Using notebooks for data science
 • Managing experiments
 • Basic machine learning workflows
 • Integrating data science with lakehouse

Security, Governance & Access Control
 • Managing users and roles
 • Data security concepts
 • Sensitivity labels and governance
 • Compliance basics

Power BI Integration with Fabric
 • Using Power BI in Fabric
 • Creating semantic models
 • Building reports on Fabric data
 • Optimizing Power BI with Fabric

Data Orchestration & End-to-End Pipelines
 • Orchestrating multi-step workflows
 • Monitoring pipeline execution
 • Handling failures and retries
 • Best practices for orchestration

Performance Optimization & Cost Management
 • Optimizing queries and workloads
 • Capacity management basics
 • Monitoring Fabric performance
 • Cost optimization strategies

Architecture Patterns & Best Practices
 • Designing enterprise analytics architectures
 • Lakehouse vs warehouse patterns
 • Data lifecycle management
 • Best practices for scalable Fabric solutions

Microsoft Fabric Project Workshop
 • Building an end-to-end Fabric analytics solution
 • Integrating ingestion, engineering, and BI
 • Applying governance and security
 • Final project review and optimization

• Microsoft Fabric Setup & Workspace Management Assessment
• Data Ingestion & Lakehouse Management Assessment
• Data Engineering & Pipeline Development Assessment
• Data Warehousing, Analytics & Reporting Assessment
• End-to-End Fabric Analytics Project Assessment

Participants will be evaluated through hands-on Microsoft Fabric labs, practical data engineering and analytics exercises, instructor-led architecture reviews, and a final project-based assessment focused on building a complete Fabric analytics solution.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Microsoft Fabric. This digital, verifiable certification validates practical Microsoft Fabric analytics platform, data engineering, and BI integration skills and can be shared on LinkedIn and included in professional profiles to enhance analytics and data engineering career credibility.