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Get the Report →Import and Visualize Snowflake Data in Power View
Create data visualizations based on Snowflake data in Excel.
NOTE: For Excel for the web (Excel 365) and Excel 2019 or higher, Power View is no longer supported. Microsoft encourages the use of Power BI for those users. Please read our article on working with Snowflake in Power BI using our Power BI connector for more information.
You can use the built-in ODBC support in Excel to rapidly create Power View reports featuring Snowflake data. This article shows how to use the Data Connection Wizard, accessible from the Data ribbon, to import Snowflake data into a Power View report.
Connect to Snowflake as an ODBC Data Source
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
To connect to Snowflake:
- Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
- Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
- Set Warehouse to the Snowflake warehouse.
- (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
- (Optional) Set Database and Schema to restrict the tables and views exposed.
See the Getting Started guide in the CData driver documentation for more information.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
About Snowflake Data Integration
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
- Reads and write Snowflake data quickly and efficiently.
- Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
- Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
Getting Started
Connect with the Data Connection Wizard
Follow the steps below to connect to the DSN from the Data Connection Wizard in Excel.
- In recent versions of Excel the Data Connection Wizard is not visible by default. To enable the Data Connection Wizard in Excel, go to File -> Options -> Data and under Show legacy data import wizards check the From Data Connection Wizard (Legacy).
- After enabling the Data Connection Wizard, on the Data tab you can click Get Data -> Legacy Wizards -> From Data Connection Wizard (Legacy).
- In the Data Connection Wizard, select the ODBC DSN option.
- Select the ODBC DSN for Snowflake from the list.
Select the tables you want to work with.
If you want to import multiple tables, deselect the "Connect to a specific table" option. After you connect to the data source, you can select multiple tables: After you click Finish to close the Data Connection Wizard, select the "Enable selection of multiple tables" option in the Select Table dialog.
- In the Import Data dialog, select the destination for your data. For example, select the Table option and the Existing worksheet option. Then click the cell in your worksheet where results should be output.
- Click Insert -> Power View to create a new Power View report.
Create a Table
Tables are the starting point for charts and other representations of your data. To create a table, select a column in the field list. You can also drag and drop table names and column names onto the view.
Create Data Visualizations
On the Design tab, you can change tables into charts and other visualizations.