Microsoft Fabric - Architecting Scalable and Resilient Distributed Systems for Modern Cloud Environments

Overview

🕮 Off the shelf (OTS)

This course is designed for professionals such as data analysts, data engineers, business intelligence professionals, data scientists, and IT experts who are responsible for managing data lakes, executing data engineering tasks, and integrating diverse data sources within the Microsoft Fabric ecosystem.

Participants should have experience with Power BI and ideally some understanding of Python and Spark.

The Microsoft Fabric Training Course provides a comprehensive introduction to Microsoft's unified analytics platform, focusing on transforming raw data into meaningful insights through real-time analytics and data engineering tasks. Participants will explore the Microsoft Fabric environment, learn data import and transformation techniques, create compelling visualizations, and understand how to manage data lakes and execute data engineering tasks.

Key Topics Covered:
• Introduction to Microsoft Fabric and its components
• Data Engineering with OneLake and Lakehouse
• ETL processes using Spark and Notebooks
• Data Warehousing with Serverless Engine
• Real-Time Analytics with KQL and KSQL
• Data Factory: Pipelines and Dataflows Gen2
• Data Visualization with Power BI and Direct Lake
• Data Science and Model Management
• Data Governance and Security
• Monitoring and Performance Optimization

The course is delivered over two days and includes hands-on exercises to reinforce learning.