Overview

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In this course, you'll explore Microsoft Fabric’s core architecture, including its data lakes and ingestion capabilities. This hands-on course is designed to give you a deep understanding of how to leverage Fabric's architecture to streamline data management and analysis. You'll be introduced to key concepts such as the OneLake environment and its role in unifying data, enabling efficient analysis and reporting. As you progress, you'll gain practical skills in ingesting data into Microsoft Fabric and organizing it across Lakehouses and data warehouses. You'll walk through the process of transforming raw data into actionable insights while exploring the power of Fabric’s analytics engine. By the end, you'll be equipped to integrate data seamlessly and build the foundation for complex data workflows. This course combines theoretical insights with real-world applications, providing you with the tools to navigate Microsoft Fabric’s ecosystem and build data solutions that are scalable and efficient. The practical exercises ensure that you understand not only how to use the platform but also how to apply it to your specific needs. Ideal for professionals aiming to work with Microsoft Fabric, this course is suited for those familiar with data management or looking to deepen their knowledge of modern cloud-based platforms. It is highly recommended for individuals involved in data engineering, data science, or cloud solutions development. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

Introduction

This module introduces the foundational concepts of Microsoft Fabric, exploring its unified architecture, core workloads, and integration capabilities. Learners will discover how Fabric supports diverse business roles and enhances data management and analytics, including its interoperability with external solutions and benefits for Power BI users.

Getting started with Fabric

This module introduces you to the Microsoft Fabric platform, guiding you through accessing, navigating, and organizing your workspace. You'll learn how to create your first data elements and build a simple report to visualize sales data. By the end, you'll be equipped with foundational skills to confidently start working with Fabric.

From Lakehouse to First Analysis

This module explores the evolution of data architectures from traditional warehouses to modern lakehouses, focusing on how Microsoft Fabric enables unified data storage, management, and analysis. Learners will gain hands-on experience with creating lakehouses, managing security, and performing initial data analysis using Power BI and Copilot. Key concepts such as data lakes, data unification, and the hub-and-spoke model are also covered.

Unifying Data in OneLake

This module explores how to organize, structure, and govern data within Microsoft Fabric's OneLake. Learners will discover strategies for domain-based organization, data mesh implementation, schema management, and data virtualization, as well as best practices for governance and security using Microsoft Purview. By the end, you'll understand how to unify and manage data efficiently across diverse domains.

Ingesting Data into Fabric

This module guides learners through the essential methods and tools for bringing data into Microsoft Fabric, including batch and real-time ingestion techniques. You will explore ETL and ELT processes, secure data access via gateways, and practical ingestion using Dataflow Gen2, Pipelines, T-SQL, and Apache Airflow. By the end, you'll understand how to efficiently and securely integrate diverse data sources into Fabric for analytics and business intelligence.