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What Is Microsoft Fabric? The Future Of Data
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8h 46m

What Is Microsoft Fabric? Unlock data mastery with our Microsoft Fabric Training. Learn from experts, explore analytics, and elevate your skills. Dive in now!

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Course Skill Level
Time Estimate
8h 46m


Management Consultant / Data Scientist / No-Code Specialist

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About This Course

Who this course is for:

  • Citizen and professional data practitioners
  • Data professionals involved in data infrastructure, ETL, and data integration, seeking to integrate Fabric into their data workflows
  • Business analysts aiming to expand their skills in data engineering, data lakes, and Power BI integration for reporting and visualization
  • Data scientists exploring the use of Fabric in data science projects, including model management and Azure services integration

What you’ll learn: 

  • Understand Microsoft Fabric, its components, and how it functions
  • Learn to explore, create, assign, and configure workspaces
  • Discover data engineering principles in Microsoft Fabric, covering Lakehouse, Delta Lake, and the application of OneLake
  • Explore data loading and ingestion options in the Fabric environment
  • Understand the connection between Power BI and Fabric for effective data visualization
  • Learn to use data factory to create and execute data pipelines in Fabric
  • Gain insights into the uses of Fabric in data science and data engineering domains
  • Develop a comprehensive understanding of performance management, SQL, KQL, and use KSQL Queryset, KSQL database, and KSQLMagic for data analysis
  • Explore access control, governance, and monitoring in the Fabric environment


  • Basic understanding and knowledge of data concepts and terminologies
  • Programming experience is not required but recommended
  • Simple understanding of cloud computing concepts and services, particularly for Microsoft Azure

Are you ready to delve into the dynamic world of Microsoft Fabric and elevate your data-professional and data engineering skills? This comprehensive course, spanning over 9 hours of engaging content, will guide you through the capabilities of Microsoft Fabric, Microsoft’s state-of-the-art data tools, and analytics platform.

What is this course all about?

The primary aim of this course is to provide a comprehensive guide to Microsoft Fabric, showcasing its diverse applications across data engineering, data science, and data analytics domains. By exploring these facets, you will develop a holistic understanding of how Microsoft Fabric can be effectively utilized in the data field.

What is Microsoft Fabric?

Microsoft Fabric is an all-in-one cloud-based analytics platform encompassing data migration, data lakes, data engineering, data integration, data science, real-time analytics, and business intelligence. With a user-friendly cloud SaaS interface, even those with limited data analytics knowledge can easily access and manage all analytics components on a single platform, simplifying data pipeline management, model deployment, and insight sharing.


Sawyer Nyquist: A data professional from West Michigan, USA, and Sr. Data Engineering Consultant at Microsoft, specializing in business intelligence, data engineering, and data platform architecture.

Hitesh Govind: A cloud solutions architect from Southern California, USA, with expertise in database administration and enterprise architecture, holding expert-level certifications in Azure Solutions Architecture, Data Engineer, and Power Platform.

Why learn Microsoft Fabric?

  • Role-Tailored Tools: Tailored tools for data professionals, analysts, and engineers.
  • Unified Platform: All-in-one platform unifying diverse analytics components.
  • Cloud-Based Accessibility: Accessible from anywhere, ideal for distributed teams and quick scalability.
  • AI-Powered Capabilities: Features like Copilot for efficient code writing and Data Activator for real-time data monitoring.
  • Why choose this course?
  • Learn from Experts: Industry experts with extensive knowledge in data science, analytics, and data engineering.
  • Comprehensive Coverage: A complete guide covering data engineering, analytics, and data science.
  • Practical Approach: Beyond theory, practical examples for real-world application.
  • Instructor Support: Committed instructors providing assistance at every step.

Our Promise to You

By the end of this Microsoft Fabric training, you will have learned Data Factory, Warehouse, Data Science, Power BI all in Fabric.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today with Microsoft Fabric data analytics.

Course Curriculum

Section 1 - Introduction
Instructors Introduction 00:00:00
Learning Objectives 00:00:00
Understanding The Objectives 00:00:00
Success Criteria 00:00:00
Introduction 00:00:00
Course Roadmap 00:00:00
Section 2 - Microsoft Fabric Foundation
Overview Of Microsoft Fabric 00:00:00
Lakehouse Vs Warehouse 00:00:00
Fabric License Types 00:00:00
Getting-Started: Sign-Up Screen 00:00:00
Concept Of Workspaces 00:00:00
Create And Configure Workspace Access 00:00:00
Workspace Settings 00:00:00
Section 3 - Data Engineering - OneLake
Introduction To Data Engineering In Fabric 00:00:00
Introduction To OneLake 00:00:00
Lakehouse 00:00:00
Delta Lake 00:00:00
OneLake Explorer 00:00:00
Authentication And Authorization 00:00:00
Introduction To Shortcuts 00:00:00
Creating Shortcuts 00:00:00
Monitoring Hub And Data Hub 00:00:00
Section 4 - Data Engineering - Lakehouse
Introduction 00:00:00
Architecture 00:00:00
Distinctions Between Lakehouse And Warehouse 00:00:00
What Is Spark? 00:00:00
Notebook Overview 00:00:00
Web Based And Vs Code Notebooks 00:00:00
Spark + Monitoring Spark Jobs 00:00:00
Section 5 - Data Warehouse - Serverless Engine
Warehouse-SQL Scripts 00:00:00
Introduction 00:00:00
Default Dataset And Modelling 00:00:00
Ingest Methods 00:00:00
Load Data Introduction 00:00:00
Load Data Into Lakehouse 00:00:00
Load Data Using Data Pipeline Part 1 00:00:00
Load Data Using Dataflows 00:00:00
Load Data Using Data Pipeline Part 2 00:00:00
Models And Power BI Reports 00:00:00
Cross-Database Query 00:00:00
Roles + Permissions (Rls, Cls) 00:00:00
Manage Performance 00:00:00
Section 6 - Real-Time Analytics
Real-Time Analytics – KQL Scripts 00:00:00
SQL Vs KQL Introduction 00:00:00
Create, Process And Monitor 00:00:00
KSQL Queryset 00:00:00
KSQL Database 00:00:00
Spark 00:00:00
KSQLmagic 00:00:00
Section 7 - Data Factory Introduction
What Is Data Factory? 00:00:00
Data Flows And Pipelines 00:00:00
Architecture 00:00:00
Workspace Setup 00:00:00
Section 8 - Data Factory End-To-End Build
Control Table And Copy Data 00:00:00
Metadata Copy Pattern 00:00:00
Script Activity 00:00:00
Data Flows Gen2 Introduction 00:00:00
Data Flows Gen2 Continuation 00:00:00
Execute Pipeline 00:00:00
Shortcut To Other Workspaces 00:00:00
Notebooks 00:00:00
Data Flow Gen2 Transformations 00:00:00
Pipelines, Notebooks And Parameters 00:00:00
Monitoring Notebooks In Pipelines 00:00:00
Section 9 - Data Visualization With Power BI
Power BI And Fabric 00:00:00
Version Control 00:00:00
Direct Lake 00:00:00
Section 10 - Data Science
Data Science – Resources 00:00:00
What Is Data Science? 00:00:00
The Data Science Process 00:00:00
Items And Models 00:00:00
Excercise 00:00:00
Saving Models 00:00:00
Model Management 00:00:00
Section 11 - Data Management
Introduction 00:00:00
Access Control 00:00:00
Governance 00:00:00
Monitoring 00:00:00

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