Instructor Led Course : Analytics Engineering with Microsoft Fabric and Azure (60 Hours)

This comprehensive instructor-led program is designed to equip professionals with the skills required to excel as Analytics Engineers in modern data ecosystems. Over the span of 60 hours, participants will gain hands-on experience in leveraging Microsoft Fabric and Azure services to design, build, and optimize robust data pipelines, scalable data models, and enterprise-grade analytics solutions.

Course Highlights

• Foundations of Analytics Engineering

  • Principles of data modeling, ETL/ELT, and modern data stack concepts.

  • Role of analytics engineers in bridging data engineering and data science.

• Microsoft Fabric Ecosystem

  • Introduction to Microsoft Fabric and its integration with Azure.

  • Working with Lakehouses, Data Warehouses, and Dataflows.

  • Leveraging Fabric pipelines for automated workflows.

• Azure for Analytics

  • Azure Data Factory for pipeline orchestration.

  • Azure Synapse Analytics for scalable querying and reporting.

  • Azure Databricks integration for advanced data processing.

• Data Transformation & Modeling

  • Building reusable and efficient transformation layers.

  • Implementing dimensional modeling (Star/Snowflake schemas).

  • Creating semantic models for BI and AI workloads.

• Business Intelligence & Visualization

  • Integrating with Power BI for impactful dashboards.

  • Enabling self-service analytics with governed data models.

• Real-World Capstone Project

  • End-to-end implementation of a data analytics pipeline.

  • Ingest, transform, model, and visualize data using Microsoft Fabric and Azure tools