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Author: brown9804

0_Azure/2_AzureAnalytics/0_Fabric/demos/31_FabricActivatorRulePipeline/README.md

@@ -23,17 +23,15 @@ Last updated: 2025-03-05
 
 </details>
 
-
-## Set Up the First Pipeline
-
-1. **Create the Pipeline**:
-   - In [Microsoft Fabric](https://app.fabric.microsoft.com/), create the first pipeline that performs the required tasks.
-
 > [!NOTE]
 > This code generates random data with fields such as id, name, age, email, and created_at, organizes it into a PySpark DataFrame, and saves it to a specified Lakehouse path using the Delta format. Click here to see the [example script](./GeneratesRandomData.ipynb)
 
 https://github.com/user-attachments/assets/95206bf3-83a7-42c1-b501-4879df22ef7d
 
+## Set Up the First Pipeline
+
+1. **Create the Pipeline**:
+   - In [Microsoft Fabric](https://app.fabric.microsoft.com/), create the first pipeline that performs the required tasks.
    - Add a `Copy Data` activity as the final step in the pipeline.
 
 2. **Generate the Trigger File**: