Load File from ADLS Gen2 to Lakehouse Table Using Dataflow Gen2 | Microsoft Fabric Tutorial

Load File from ADLS Gen2 to Lakehouse Table Using Dataflow Gen2

Microsoft Fabric Tutorial

📘 Overview

In this tutorial, you'll learn how to use Dataflow Gen2 in Microsoft Fabric to connect to files stored in Azure Data Lake Storage Gen2 (ADLS Gen2), transform the data, and load it into a Lakehouse Table (Delta format).

✅ Topics Covered

• How to create and configure a Dataflow Gen2
• How to connect to files in ADLS Gen2
• Data transformation and mapping to Lakehouse Table schema
• How to load data directly into a Delta Table
• Real-world example and troubleshooting tips

⚙️ Step-by-Step Instructions

1. Open your Fabric workspace and create a new Dataflow Gen2.
2. Select ADLS Gen2 as the source connector and browse to your CSV, Parquet, or JSON file.
3. Preview and transform your data using the Power Query interface.
4. Apply column renaming, type changes, filtering, or calculated columns as needed.
5. Choose a Lakehouse Destination and select or create a Delta Table.
6. Map the source columns to destination columns (or auto-map if schema matches).
7. Validate and save the Dataflow, then trigger a refresh or schedule future runs.

💡 Troubleshooting Tips

• Ensure ADLS Gen2 permissions are correctly granted using Fabric-linked services.
• Use column profile view to catch data type mismatches early.
• Be cautious with null values in key columns — define fallbacks where necessary.
• Use versioning and timestamp columns when overwriting existing tables.

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Blog created with help from ChatGPT and Gemini.