How to read CSV Files in Alteryx and import into Snowflake Tables?

Snowflake is a cloud-based data warehousing platform that provides fast, secure, and flexible data storage and retrieval capabilities. Alteryx , on the other hand, is a powerful data analytics and business intelligence platform that allows users to perform various operations on their data, including reading, transforming, and analyzing it. By combining these two platforms, you can create a powerful data analytics solution.

In this blog, I’ll be showing how to read CSV files in Alteryx and import them into a Snowflake table.

Here are the steps to read a CSV file in Alteryx and import it into a Snowflake table:

1. Connect Alteryx to Snowflake:

Before importing the data into Snowflake, you need to establish a connection between Alteryx and Snowflake.

To do this, go to the Alteryx Connections tab and create a new Snowflake connection.

Enter the required credentials and test the connection.

2. Import the CSV file into Alteryx:

In Alteryx, go to the Workflow canvas and select the Input Data tool.

From the Input Data tool, select the option to read a file.

Browse to the location of the CSV file you want to import, select the file, and click OK.

3. Prepare the data for import into Snowflake:

After importing the CSV file into Alteryx, you need to prepare the data for import into Snowflake.

This may include transforming the data, removing any unwanted columns, and making sure the data is in the correct format.

To do this, you can use various Alteryx tools such as the Select, Filter, and Formula tools.

4. Write the data to Snowflake:

Once the data has been prepared, you can start writing it to the Snowflake table.

To do this, select the Snowflake Output tool from the Alteryx Tools tab.

Enter the required information, such as the Snowflake connection details, the database name, schema name, and table name.

You can also specify how you want the data to be written to Snowflake, such as whether to overwrite the existing data or append to it.

5. Run the workflow:

Finally, run the workflow by clicking the Run button.

This will import the data from the CSV file into the Snowflake table.

And that’s it! With these simple steps, you can read a CSV file in Alteryx and import it into a Snowflake table. By combining the power of Alteryx and Snowflake, you can create a powerful data analytics solution that can help you make informed decisions based on your data.


Reading CSV files in Alteryx and importing them into Snowflake tables is a straightforward process that can be accomplished in just a few steps. With the power of these two platforms, you can perform various operations on your data and analyze it in a fast, secure, and flexible way.


If you are unsure how to compare your data in Snowflake or would like to speak with an expert to learn more, Anyon ConsultingBI group can help! Our database experts and consultants that can answer any questions on customize dashboards, help with your database implementation, optimize your database platform, and much more. Contact us today to learn more about our  Custom Database Development.

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