Uploaded August 2025 | Updated September 2026, 2 weeks ago
Hands-On with Microsoft Fabric: From Data Ingestion to Business Insights
In this step-by-step tutorial, we walk through building a complete Microsoft Fabric pipeline — from ingesting raw data into a Lakehouse, transforming it with Dataflows and Notebooks, cleaning and preparing it using Data Wrangler, training an ML model, and finally creating an automated Power BI report.
💡 What you’ll learn:
Connecting data pipelines and activities in Microsoft Fabric
Using Notebooks for data transformation and cleaning
Applying Data Wrangler for no-code preprocessing
Saving curated datasets for analytics & ML
Training and comparing ML models within Fabric
Building automated Power BI reports from the same curated data
Scheduling pipeline refreshes for always up-to-date insights
Whether you’re into data engineering, data science, or business intelligence, this session shows how Microsoft Fabric unifies the entire analytics workflow in one platform.
Hands-On with Microsoft Fabric: From Data Ingestion to Business Insights
In this step-by-step tutorial, we walk through building a complete Microsoft Fabric pipeline — from ingesting raw data into a Lakehouse, transforming it with Dataflows and Notebooks, cleaning and preparing it using Data Wrangler, training an ML model, and finally creating an automated Power BI report.
💡 What you’ll learn:
Connecting data pipelines and activities in Microsoft Fabric
Using Notebooks for data transformation and cleaning
Applying Data Wrangler for no-code preprocessing
Saving curated datasets for analytics & ML
Training and comparing ML models within Fabric
Building automated Power BI reports from the same curated data
Scheduling pipeline refreshes for always up-to-date insights
Whether you’re into data engineering, data science, or business intelligence, this session shows how Microsoft Fabric unifies the entire analytics workflow in one platform.
