Read Data from ADLS Gen2 and Load into Lakehouse Files Using Pipeline | Microsoft Fabric Tutorial

Read Data from ADLS Gen2 and Load into Lakehouse Files Using Pipeline

Microsoft Fabric Tutorial

📘 Overview

In this tutorial, we demonstrate how to use Microsoft Fabric Data Pipelines to read data from Azure Data Lake Storage Gen2 (ADLS Gen2) and load it into the Lakehouse Files section.

🔗 Key Concepts Covered

• How to link a Storage Account to Microsoft Fabric
• Using Copy Activity to fetch files from ADLS Gen2
• Targeting the Files section of a Lakehouse
• Monitoring the pipeline execution and success

⚙️ Step-by-Step Process

1. Open your Microsoft Fabric workspace and navigate to the Data Pipeline feature.
2. Create a new pipeline and add a Copy Activity.
3. Configure the source connection as ADLS Gen2 (Linked Service).
4. Browse to the container or directory where your source files exist.
5. Set the destination as the Lakehouse → Files → Target folder (e.g., /Files/Staging).
6. Set the file format options like delimiter (CSV), JSON, or Parquet.
7. Trigger the pipeline and validate the output using Data Preview or file browser inside Lakehouse.

💡 Use Cases

• Loading raw ingestion data into Lakehouse for staging
• Incremental file loading from external sources like ADLS Gen2
• Building ELT workflows in Fabric using pipelines

🎥 Watch the Full Tutorial

Blog created with help from ChatGPT and Gemini.