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Snowflake Integration with Power BI

How To


Summary

This technote describes the procedure to integrate Microsoft Power BI Desktop with a Snowflake data warehouse. It explains how to establish the connection, authenticate users, and load Snowflake data into Power BI for reporting, dashboarding, and visualization purposes.

Objective

To provide a clear and standardized guide that enables users to:

  • Connect Power BI Desktop to a Snowflake computing warehouse
  • Authenticate securely using Snowflake credentials
  • Load Snowflake tables into Power BI for analysis and visualization

Environment

  • Operating System: Windows
  • Tool: Microsoft Power BI Desktop
  • Data Source: Snowflake Data Warehouse
  • Access Requirements:
    • Snowflake username and password
    • Snowflake Server, Warehouse, Database, and Role details
    • Connection details provided by the Maximo Renewable team

Steps

Step 1: Initiate Snowflake Connection

Select Get Data from the Home ribbon in Power BI Desktop. From the available categories on the left, select Database, choose Snowflake, and then select Connect.

Step 2: Enter Server and Warehouse Details

In the Snowflake connection window that appears, enter:

  • The Snowflake server name in the Server field
  • The Snowflake computing warehouse name in the Warehouse field

Step 3: Provide Advanced Connection Parameters

Select Advanced options and enter the following details:

  • Database
  • Warehouse
  • Role

These details are provided to users by the Maximo Renewables team.

 

Step 4: Confirm Connection Details

Select OK to proceed with the connection.

 

Step 5: Authenticate to Snowflake

When prompted, enter your Snowflake username and password, and then select Connect to sign in to the Snowflake computing warehouse.

Step 6: Select Data to Import

In the Navigator window, select one or more Snowflake objects (tables or views) to import into Power BI Desktop. Choose one of the following options:

  • Load - to load the data directly into Power BI Desktop
  • Transform Data – to open the Power Query Editor, where you can filter and refine the data before loading it

Step 7: Create Reports and Visualizations

Load the data into your Power BI workbook and begin creating dashboards and visualizations as per business requirements.

 

Additional Information

  • Selecting Transform Data opens the Power Query Editor, which allows users to clean, filter, and reshape Snowflake data before loading it into Power BI.
  • Data visibility and access are governed by Snowflake role‑based access control.
  • All Snowflake connection parameters and credentials must be obtained from the Maximo Renewables team.
  • Technote link : Snowflake Integration with Microsoft Excel

Document Location

Worldwide

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Product Synonym

Maximo Renewables;IBM Maximo Renewables;Prescinto

Document Information

Modified date:
25 March 2026

UID

ibm17267434