Implement with impact: Microsoft Fabric: Analytics

Last Updated Oct 2025

Course Overview

Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, and business intelligence. Attend this course to learn more about this comprehensive suite of services, including Data Engineering, Data Warehousing and Data Science, all in one place. Learn how to implement this easy-to-use product that is designed to simplify analytics needs of enterprises.

Duration - 16 Hours

Level - Intermediate

Style - Self paced

Course Type - Project Ready with Labs

Certification - No

Hands on Labs - Yes

Solution Areas - Azure - Cloud & AI Platform, Unify Your Data Platform

Course Modules

Get started with Data Engineering experiences using Microsoft Fabric

Microsoft Fabric offers a unified data platform for AI transformation, enabling data engineering, seamless integration, AI-driven enrichment, and enhanced interaction through Lakehouse, Data Factory, and Fabric Data Agent.

Data Engineering using Apache Spark, Delta Lakes and Notebooks

Microsoft Fabric enables advanced analytics with Apache Spark, optimized Delta Lake tables, Fabric Notebooks, VS Code integration, GraphQL APIs, Git workspace management, and flexible Spark configurations.

Implement Data Warehousing in Microsoft Fabric

Microsoft Fabric simplifies data warehousing with seamless data ingestion, dimensional modeling, and robust monitoring. It ensures efficient management and strong security for optimized data operations.

Achieve Analytics value from Fabric Warehouse

Microsoft Fabric enables rich T-SQL experiences to query warehouse data, create snapshots, and build powerful Power BI semantic models for deeper insights.

Migrate to Data Warehouse in Microsoft Fabric

Prepare for migration by extracting a DAC from Azure Synapse and using the Fabric Migration Assistant for a seamless move to Microsoft Fabric.

Data Science in Microsoft Fabric

Microsoft Fabric streamlines data science with tools to prepare data, track experiments, and train models using AutoML. It supports model scoring and delivers advanced AI experiences through Azure AI Foundry.

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