Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

Course Overview:

This one-day foundational course introduces you to Microsoft Fabric, a unified analytics platform designed to simplify data engineering, data science, and business intelligence in a single environment. You will explore essential components such as lakehouses, data pipelines, notebooks, and reporting layers, gaining clarity on how Microsoft Fabric streamlines end-to-end analytics. The course combines guided learning with practical demonstrations, helping you understand how data flows through the platform and how each component works together to support modern analytics and reporting needs.

Learning Objectives:

By the end of the course, you will:

• Understand the core components of Microsoft Fabric and how they work together.
• Build and manage lakehouses for scalable data storage.
• Create pipelines to automate ingestion and transformation.
• Use notebooks for data engineering and exploration tasks.
• Develop simple reports and semantic models using Fabric’s analytics layer.
• Understand governance, workspace management, and user roles.
• Apply best practices for building efficient analytics workflows.

Target Audience:

Data engineers, BI analysts, and Power BI users.

Why Is It the Right Fit for You?

This course is ideal if you want to understand how Microsoft Fabric unifies analytics, engineering, and BI in one platform. The training provides step-by-step clarity on how data is stored, transformed, and visualized, making it easier to build modern analytical solutions. Our hands-on approach ensures you gain real experience with lakehouses, pipelines, notebooks, and reporting features. You will leave with a clear understanding of how to streamline your analytics workflows using Fabric. Whether you're transitioning from traditional tools or enhancing your data stack, this course provides immediate, practical value.

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Agenda

Module 1: Microsoft Fabric Fundamentals

• Overview of the unified analytics platform
• Understanding the architecture and key components
• Fabric workspace environment
• Activity

Module 2: Lakehouses & Data Storage

• Introduction to lakehouse architecture
• Organizing and managing structured/unstructured data
• Working with Delta tables
• Activity

Module 3: Data Pipelines & Ingestion

• Building and scheduling data pipelines
• Connecting data sources and transformations
• Monitoring pipeline performance
• Activity

Module 4: Notebooks for Data Engineering & Exploration

• Using notebooks for data preparation
• Working with Python or SQL inside Fabric
• Executing transformations and validations
• Activity

Module 5: Semantic Models & Reporting Basics

• Creating semantic models for reporting
• Connecting data to reporting layers
• Understanding how Fabric integrates with Power BI
• Activity

Module 6: Real-Time Analytics Essentials

• Understanding event streams
• Managing real-time data workloads
• Visualization options for real-time dashboards
• Case Study

Module 7: Fabric Administration & Governance

• Managing workspaces and roles
• Data governance, sensitivity labels, and controls
• Access management and compliance considerations
• Activity

Module 8: Best Practices & Optimization

• Designing efficient data structures
• Organizing workflows for scalability
• Common mistakes and how to avoid them
• Role Play