At we offer organizations and teams private, secure environments in which they can collaborate together. By bringing in data from Snowflake, you can further extend your data using features, and connecting to open datasets. supports the largest open data community in the world, where we're excited to connect members with a vast collection of scientific research, government, and demographic data, as well as other members who are interested in similar data work so they can join forces to solve real problems faster.

What You'll Learn

What You'll Need

We will walk through both and Snowflake account creation in the next steps.

What You'll Build

To create a free account, do the following:

  1. Click this link and then click Join now below the login section. 2-1
  2. Enter your email, name, username, and password then click Continue.
    • Alternatively, you can create an account by linking to your Google, Facebook, GitHub, or Twitter account on the bottom of the sign-up popup modal. 2-2
  3. You will then be redirected to your landing page.
  4. Check your email for a verification email from In the email, click the Verify email button, or copy and paste the unique link into your browser to verify your email address and complete your account creation. 2-3

On the landing page, you will find some helpful resources. In addition to links to the getting started guide and documentation, you can complete the Getting started checklist, find and follow trusted data providers, or explore the introduction tutorials. Feel free to explore these now, or move on to the next step in this quickstart. 2-4

To create a Snowflake trial account, do the following:

  1. Click this link.
  2. Enter your first name, last name, email, company, role, and country. Click Continue. 3-1
  3. Choose a Snowflake account version (Enterprise recommended) and a cloud provider.
  4. Check the box to agree to the terms, and click Get Started. 3-2
  5. Check your email for a verification email from Snowflake, and in the email click the Click To Activate button. 3-3
  6. Create a new password, and then login to your Snowflake account.

Your Snowflake account is now ready to go!

With your and Snowflake accounts set up, you are now ready to connect Snowflake to In this step, you will activate the partner conenction, and create a dataset in where that connection can be accessed.

  1. In Snowflake, expand the Admin menu on the left sidebar.
  2. Choose Partner Connect. 4-1
  3. Scroll down to the Security & Governance section, and select the tile.
    • Alternatively you can search for "" and then click the tile.
  4. Click the Connect button.
    • When you click Connect, the partner database, warehouse, user, and role will be created in your Snowflake instance. 4-2
  5. Once the partner account is created, click Activate.
    • You are redirected to If you are in a new session, you may be prompted to login to your account.
    • The partner Snowflake connection is automatically created. 4-3

Your partner account has been created, and connected to your account. Congratulations! 4-4

Now that you have successfully connected Snowflake to, it's time to create a dataset, where you will be able to interact with your data.

  1. Click Create a dataset. 5-0
  2. Give the dataset a name, like "Snowflake Quickstart", then click Create Dataset. 5-1
  3. Click Add data. 5-2
  4. Click the Snowflake tile under My Integrations.
    • This tile is the connection that was automatically created when you clicked Activate in the previous step. 5-3
  5. Click Use live table. 5-4
  6. Select the following schema:
    • TPCDS_SF10TCL 5-5
  7. Select the following tables:
  8. Click Import 2 tables5-6
  9. Click Got it5-7

After you add the tables to your dataset, it will take a few moments for to index the columns. Once the tables have completed processing, you will see a live preview of the first 5 rows of each table. Now is time to write some queries. In this step, you'll create a new project, where you can link datasets, run queries, and save results.

  1. In the dataset, click Launch workspace. 6-1
  2. Click on Untitled Project in the header. 6-2
  3. Give the project a name, like "Snowflake Quickstart Project" and click Create. 6-3
  4. Click + Add and choose SQL Query. 6-4
  5. Paste the following query into the editor.
    • This query returns the count of customers by state, separated by dwelling type.
  a.ca_state AS state,
  a.ca_location_type AS location_type,
  COUNT(c.c_customer_sk) AS customer_count
from customer c
join customer_address a
  on customer.c_current_addr_sk = a.ca_address_sk
group by ca_state, ca_location_type
  1. Click Run query.
  2. Admire your query results! 6-5
  3. Save your query to the project by clicking Save, and give the query a name, like "cust-by-state-type" and then click Save. 6-6

So far, you've created a query against data that you already have access to in Snowflake. In this example, we will extend your data using built-in features of

  1. Click on the query created in the previous step to view the query results.
  2. Click Download and select Save to dataset or project. 7-1
  3. Give the file a name, like "cust-by-state-type", and click Save.
    • The name may be already populated, if you saved the query in the previous step. 7-2
  4. In the Project Files section on the left sidebar, you will find your new file. Click on it to open it in the workspace.
  5. You will notice that the state column has a green triangle on the corner. This indicates that has detected that the data contained in the column matches known contextual data. 7-3
  6. Click the green triangle, and select Match this column. 7-4
  7. has matched the state column to the US States or Territories. Click Add matched column to add it to the table. 7-5
  8. After adding the matched column, you can add more related columns. Scroll to the left, and click Add related column under census_region, then click Done. 7-6

You now have a report that can be aggregated from State to Region, without having necessarily contained that information in your base data. 7-7

To lead the rest of your team the Eureka moments you discover through the data, you can create insights on your projects. Insights are a space where you can embed content via markdown, have discussions, and collaborate with your team members.

  1. With your report open in the workspace, click Open in app. 8-1
  2. Select Chart Builder. 8-2
  3. On the next screen, click Community. 8-3
  4. To complete authorization of the Chart Builder integration, click Authorize Chart Builder(by 8-4
  5. In Chart Builder, next to X, click Select a field... and choose census_region. 8-5
  6. Next to Y, click Select a field... and choose customer_count.
  7. Next to Color, click Select a field... and choose census_region.
  8. Set the chart size Width to 500, and the Height to 330. 8-6
  9. Click Share in the upper righthand corner, and select Insight. 8-7
  10. Enter a title, like "Customer Count by Region" and click Save. 8-8
  11. In the green success header, click Open in new tab to view your insight in your project. 8-9

Blim Blam!! You've seen how you can use and Snowflake together to create Eureka insights for you and your team. This is just a small sample of what you can do in You can also join your data to other open dataset hosted on by organizations around the world, import data from files such as CSV, JSON, Excel, or XML. And so much more!

Continue exploring