> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-fix-nav-issues.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Create your first Cloud service and load example data
> Create a ClickHouse Cloud service, explore the SQL console, and load an example dataset to start querying real data in minutes.
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Prerequisites
There are no prerequisites for this quickstart
What you'll build
In this quickstart you'll create your first ClickHouse Cloud service, familiarize yourself with the Cloud console and the built-in SQL console, and load an example dataset so you have real data to query.
By the end, you'll have a running ClickHouse Cloud service with data loaded, ready to use as a foundation for the rest of the quickstart series.
### Sign up for ClickHouse Cloud
Navigate to [console.clickhouse.cloud](https://console.clickhouse.cloud/). You'll see the sign-in page. Click **Register** next to "Don't have an account yet?" at the bottom.
On the registration page, sign up with Google, Microsoft, or enter your business email. No credit card is required - the free trial gives you \$300 in credits and 30 days to explore ClickHouse Cloud.
If you sign up with email, you'll be asked to set a password. It must meet the following requirements:
* At least 12 characters
* At least 3 of: lowercase letters, uppercase letters, numbers, special characters (e.g. `!@#$%^&*`)
Accept the Terms of Service and Privacy Policy, then click **Sign up**. Check your email for the confirmation link and click **Verify email** to activate your account.
Once verified, sign in with your new email and password.
### Create a new service
After signing in for the first time, you'll be taken straight to the service configuration page. Configure the following:
| Setting | Recommendation |
| ---------------------- | ------------------------------------------------------------------------------------------------------- |
| **Service name** | Give your service a descriptive name (e.g. `My first service`) |
| **Cloud provider** | Choose AWS, GCP, or Azure based on your preference |
| **Region** | Select the region closest to you for lowest latency |
| **Memory and scaling** | Select **Mini 12GB** (1 replica) for this quickstart - it's the most cost-effective option for learning |
Click **Create service** to provision your service.
You'll land on the service home page where the status will initially show as **Provisioning**. This typically takes under a minute. Once complete, the status will change to **Running**.
### Load an example dataset
Click **Data sources** in the left sidebar. You'll see several options for getting data into your service.
Click **Add sample data** to browse the available example datasets. You'll see three options: Cell Towers, UK Property Price Paid, and New York Taxi Data. Click **Get started** on the **UK Property Price Paid** dataset.
You'll see a preview of the data with the table schema. Click **Import dataset** to load the data into your service.
The import will take a minute or two. Once complete, you're ready to query the data.
### Query the data
Click **SQL Console** in the left sidebar to open the built-in query editor. This is where you'll write and run SQL queries directly in your browser - no external tools needed.
Try a few queries to explore the UK property price data.
Find the most expensive properties ever sold:
```sql theme={null}
SELECT
town,
district,
county,
price,
date
FROM pp_complete
ORDER BY price DESC
LIMIT 5;
```
Find the average sale price by year:
```sql theme={null}
SELECT
toYear(date) AS year,
round(avg(price)) AS avg_price,
formatReadableQuantity(count()) AS sales
FROM pp_complete
GROUP BY year
ORDER BY year DESC;
```
These queries scan millions of rows in seconds - that's ClickHouse's columnar storage and compression at work.
Next steps
You now have a running ClickHouse Cloud service with 30 million rows of real data loaded. This service and dataset are used throughout the rest of the quickstart series.
Check out the following quickstarts next:
* [Obtain your Cloud connection details](/get-started/quickstarts/obtain-your-cloud-connection-details)
* [Create your first MergeTree table](/get-started/quickstarts/create-your-first-mergetree-table)
* [Insert data using clickhouse-client](/get-started/quickstarts/insert-data-using-clickhouse-client)
