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The CData Excel Add-In for Snowflake provides formulas that can edit, save, and delete Snowflake data. The following three steps show how you can automate the following task: Search Snowflake data for a user-specified value and then organize the results into an Excel spreadsheet.
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
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.
The syntax of the CDATAQUERY formula is the following:
=CDATAQUERY(Query, [Connection], [Parameters], [ResultLocation]);
This formula requires three inputs:
Connection: Either the connection name, such as SnowflakeConnection1, or a connection string. The connection string consists of the required properties for connecting to Snowflake data, separated by semicolons.
To connect to Snowflake:
See the Getting Started guide in the CData driver documentation for more information.
The procedure below results in a spreadsheet that organizes all the formula inputs in the first column.
=CDATAQUERY("SELECT * FROM Products WHERE Id = '"&B10&"'","Authscheme="&B1&";URL="&B2&";User="&B3&";Password="&B4&";Server="&B5&";Database="&B6&";Warehouse="&B7&";Account="&B8&";MFACode="&B9&";Provider=Snowflake",B11)
👁 Formula inputs used in this example. (Google Apps is shown.)Download a free trial of the Excel Add-In for Snowflake to get started:
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👁 Snowflake Enterprise Data Warehouse IconThe Snowflake Excel Add-In is a powerful tool that allows you to connect with live Snowflake data warehouse, directly from Microsoft Excel.
Use Excel to read, write, and update Snowflake. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!