Technologies

Microsoft Fabric — Analytics Platform

This training provides a thorough introduction to Microsoft Fabric, Microsoft's unified analytics platform that brings together data engineering, data science, real-time analytics, and business intelligence in a single SaaS environment. Participants will learn to work with OneLake, Data Factory, Synapse Analytics, Power BI, and the AI-powered Copilot capabilities integrated across the platform. The course covers architecture, data pipelines, lakehouses, and end-to-end analytics workflows using practical hands-on labs.

Why choose this training?

Microsoft Fabric represents a fundamental shift in how organizations build and manage analytics platforms, consolidating capabilities that previously required multiple separate Azure services into a single integrated SaaS experience. This training gives participants the practical skills to navigate that shift — from OneLake architecture to real-time analytics — with hands-on labs that mirror real-world scenarios.

Whether you are evaluating Fabric for your organization or already building on it, this course provides the depth and breadth needed to work confidently across all its major capabilities.

What makes our approach unique?

EITT combines Microsoft-certified expertise with over 2,500 trainings delivered in data engineering, cloud architecture, and analytics. With more than 500 specialists in our network, we ensure our Microsoft Fabric training reflects the current state of the platform — including the latest Copilot features and DirectLake innovations — so participants are always learning what matters most in production environments today.

Benefits

Understand the Microsoft Fabric architecture and how its components work together
Work with OneLake and Delta Lake as the unified data storage foundation
Build data engineering pipelines using Data Factory and Spark notebooks
Create and query Fabric Lakehouses and Data Warehouses using T-SQL and PySpark
Ingest and analyze real-time streaming data using Eventstream and KQL
Develop Power BI reports using DirectLake mode for high-performance analytics
Use Fabric Copilot to accelerate data exploration and report creation
Design end-to-end analytics solutions using Microsoft Fabric

Who is this training for?

Data engineers and ETL developers

Data analysts and BI developers

Power BI report developers looking to expand their skills

Cloud architects evaluating Microsoft data platforms

IT architects designing modern data platforms

Database administrators transitioning to cloud analytics

Technical project managers overseeing analytics initiatives

Prerequisites

Basic experience with SQL and relational databases
Familiarity with Power BI or Azure data services (recommended)
Basic understanding of cloud computing concepts
Experience with Python or PySpark is an advantage but not required

Training program

Microsoft Fabric overview — what it is and how it differs from Azure Synapse
Fabric workspaces, capacities, and licensing model
OneLake — the unified data lake foundation
Delta Lake format and its role in Fabric
Fabric experiences — overview of all integrated services
Security model, roles, and access control in Fabric

Creating and managing Fabric Lakehouses
Ingesting data into OneLake — supported formats and methods
Apache Spark notebooks in Fabric — PySpark and SQL
Delta tables — schema management and versioning
Data transformation pipelines using notebooks
Monitoring and debugging Spark jobs

Data Factory in Fabric vs. Azure Data Factory
Building data pipelines — sources, sinks, and transformations
Dataflows Gen2 — low-code data transformation with Power Query
Scheduling, triggers, and orchestration
Handling errors, retries, and pipeline monitoring
Integrating pipelines with Lakehouse and Warehouse

Fabric Data Warehouse — architecture and T-SQL support
Creating tables, views, and stored procedures
Ingesting and querying data at scale
Cross-database queries between Warehouse and Lakehouse
Performance tuning and query optimization
Comparing Lakehouse vs. Warehouse — when to use which

Real-Time Analytics (RTA) workload in Fabric
KQL (Kusto Query Language) fundamentals
Eventstream — ingesting streaming data from IoT and event hubs
KQL databases and query sets
Building real-time dashboards in Fabric
Use cases — IoT telemetry, log analytics, operational monitoring

Power BI integration in Fabric — DirectLake mode
Building semantic models on top of Lakehouse and Warehouse
Fabric Copilot — AI-assisted data exploration and report generation
End-to-end analytics scenario — from raw data to dashboard
Fabric governance — data catalog, lineage, and sensitivity labels
Roadmap, pricing, and migration from existing Azure services

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

Do I need prior experience with Azure Synapse or Power BI to attend this training?

Prior experience with Azure data services or Power BI is helpful but not required. The training starts with Fabric fundamentals and progressively builds toward advanced scenarios. Participants with a basic SQL background and general cloud familiarity will follow the course comfortably.

How is the training structured across 3 days?

The training is delivered over 3 full days with a mix of instructor-led presentations, live demonstrations, and hands-on lab exercises. Each day focuses on a distinct set of Fabric capabilities, with the final day bringing everything together in an end-to-end analytics scenario. Both online and onsite delivery formats are available.

Who is this training best suited for?

This training is ideal for data engineers, ETL developers, BI developers, and cloud architects who want to understand and work with the Microsoft Fabric platform. It is also highly valuable for Power BI developers who want to leverage the full Fabric ecosystem and for IT architects evaluating modern cloud analytics platforms.

Does the training cover Microsoft Fabric Copilot and AI features?

Yes, the final module is dedicated to Fabric Copilot and AI-assisted analytics, including how to use natural language to explore data, generate DAX measures, and build reports. We also cover the governance and responsible use of AI features within the Fabric environment.

Why choose EITT for this training?

EITT is a training provider with over 500 experts and experience from over 2,500 trainings delivered in data, cloud, and Microsoft technologies. Our Microsoft-certified trainers work with Fabric in real production environments, bringing current hands-on knowledge rather than purely theoretical content. EITT holds a 4.8/5 average participant rating.