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@@ -6,19 +6,16 @@ subCategory: Cube Cloud
 menuOrder: 2
 ---
 
-First, we'll create a new deployment, connect it to a database, and generate a
-data model from it. Then, we'll run queries using the Developer Playground and
-APIs. Finally, we'll add a pre-aggregation to optimize query latency down to
-milliseconds.
+This getting started guide will show you how to use Cube Cloud with Snowflake. You will learn how to:
 
-This guide will walk you through the following tasks:
+- Load sample data into your Snowflake account
+- Connect Cube Cloud to Snowflake
+- Create your first Cube data model
+- Connect to a BI tool to explore this model
+- Create React application with Cube REST API
 
-- [Create a new deployment](/getting-started/cloud/create-a-deployment)
-- [Generate a data model from a connected data source](/getting-started/cloud/generate-models)
-- [Run queries using the Developer Playground and APIs](/getting-started/cloud/query-data)
-- [Add a pre-aggregation to optimize query performance](/getting-started/cloud/add-a-pre-aggregation)
+## Prerequisites
 
-If you'd prefer to run Cube locally, then you can refer to [Getting Started
-using Cube Core][ref-getting-started-core-overview] instead.
 
-[ref-getting-started-core-overview]: /getting-started/core/overview
+- [Cube Cloud account](https://cubecloud.dev/auth/signup)
+- [Snowflake account](https://signup.snowflake.com/)
@@ -0,0 +1,108 @@
+---
+title: Load data
+permalink: /getting-started/cloud/load-data
+category: Getting Started
+subCategory: Cube Cloud
+menuOrder: 2.1
+---
+
+The following steps will guide you through setting up a Snowflake account and uploading the demo dataset, which is stored as CSV files in a public S3 bucket.
+
+First, let’s create a warehouse, database, and schema. Paste the following SQL into the Editor of the Snowflake worksheet and click Run.
+
+```sql
+CREATE WAREHOUSE cube_demo_wh;
+CREATE DATABASE cube_demo;
+CREATE SCHEMA cube_demo.ecom;
+```
+
+We’re going to create four tables in the `ecom` schema and seed them with data from S3.
+
+First, let’s create `line_items` table. Delete the previous SQL in your Editor and then run the following command.
+
+```sql
+CREATE TABLE cube_demo.ecom.line_items
+( id INTEGER,
+  order_id INTEGER,
+  product_id INTEGER,
+  price INTEGER,
+  created_at TIMESTAMP
+);
+```
+
+Clear all the content in the Editor and run the following command to load data into the `line_items` table.
+
+```
+COPY INTO cube_demo.ecom.line_items (id, order_id, product_id, price, created_at)
+FROM 's3://cube-tutorial/line_items.csv'
+FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);
+```
+
+Now, we’re going to repeat these steps for three other tables.
+
+Run the following command to create the `orders` table.
+
+```sql
+CREATE TABLE cube_demo.ecom.orders
+( id INTEGER,
+  user_id INTEGER,
+  status VARCHAR,
+  completed_at TIMESTAMP,
+  created_at TIMESTAMP
+);
+```
+
+Run the following command to load data into the `orders` table from S3.
+
+```sql
+COPY INTO cube_demo.ecom.orders (id, user_id, status, completed_at, created_at)
+FROM 's3://cube-tutorial/orders.csv'
+FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);
+
+```
+
+Run the following command to create the `users` table.
+
+```sql
+CREATE TABLE cube_demo.ecom.users
+( id INTEGER,
+  user_id INTEGER,
+  city VARCHAR,
+  age INTEGER,
+  gender VARCHAR,
+  state VARCHAR,
+  first_name VARCHAR,
+  last_name VARCHAR,
+  created_at TIMESTAMP
+);
+
+```
+
+Run the following command to load data into the `users` table.
+
+```sql
+COPY INTO cube_demo.ecom.users (id, city, age, gender, state, first_name, last_name, created_at)
+FROM 's3://cube-tutorial/users.csv'
+FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);
+
+```
+
+Run the following command to create the `products` table.
+
+```sql
+CREATE TABLE cube_demo.ecom.products
+( id INTEGER,
+  name VARCHAR,
+  product_category VARCHAR,
+  created_at TIMESTAMP
+);
+
+```
+
+Run the following command to load data into the `products` table.
+
+```sql
+COPY INTO cube_demo.ecom.products (id, name, created_at, product_category)
+FROM 's3://cube-tutorial/products.csv'
+FILE_FORMAT = (TYPE = 'CSV' FIELD_DELIMITER = ',' SKIP_HEADER = 1);
+```
@@ -0,0 +1,77 @@
+---
+title: Connect to Snowflake
+permalink: /getting-started/cloud/connect-to-snowflake
+category: Getting Started
+subCategory: Cube Cloud
+menuOrder: 3
+---
+
+In this section, we’ll create a Cube Cloud deployment and connect it to Snowflake. 
+A deployment represents a data model, configuration, and managed infrastructure.
+
+To continue with this guide, you'll need to have a Cube Cloud account. If you
+don't have one yet, [click here to sign up][cube-cloud-signup] for free.
+
+First, [sign in to your Cube Cloud account][cube-cloud-signin]. Then,
+click&nbsp;<Btn>Create Deployment</Btn>:
+
+Give the deployment a name, select the cloud provider and region of your choice,
+and click <Btn>Next</Btn>:
+
+<Screenshot
+  alt="Cube Cloud Create Deployment Screen"
+  src="https://ucarecdn.com/2338323e-0db8-4224-8e7a-3b4daf9c60ec/"
+/>
+
+<SuccessBox>
+
+Microsoft Azure is available in Cube Cloud on
+[Premium](https://cube.dev/pricing) tier. [Contact us](https://cube.dev/contact)
+for details.
+
+</SuccessBox>
+
+## Set up a Cube project
+
+Next, click <Btn>Create</Btn> to create a new project from scratch:
+
+<Screenshot
+  alt="Cube Cloud Upload Project Screen"
+  src="https://ucarecdn.com/46b72b61-b650-4271-808d-55203f1c8d8b/"
+/>
+
+## Connect to your Snowflake 
+
+The last step is to connect Cube Cloud to Snowflake. First, select it from the grid:
+
+<Screenshot
+  alt="Cube Cloud Setup Database Screen"
+  src="https://ucarecdn.com/1d656ba9-dd83-4ff4-a59e-8b5f97a9ddcc/"
+/>
+
+Then enter your Snowflake credentials:
+
+- **Username:** Your Snowflake username. Please note, it is usually **not** your email address.
+- **Password:** Your Snowflake password.
+- **Database:** `CUBE_DEMO`, that is the database we've created in the previous step.
+- **Account:** Your snowflake account identifier. You can find it in your Snowflake URL as the `account_locator` part.
+- **Region:** Your Snowflake account region. You can find it in your Snowflake URL. If your URL includes a `cloud` part, use both the `cloud_region_id` and `cloud` together e.g. `us-east-2.aws`, otherwise just use `cloud_region_id`
+- **Warehouse:** `CUBE_DEMO_WH`, that is the warehouse we've created in the previous step.
+- **Role:** You can leave it blank.
+
+Click <Btn>Apply</Btn>, Cube Cloud will test the connection and proceed to the next step.
+
+## Generate data model from your Snowflake schema
+
+Cube can now generate a basic data model from your data warehouse schema, which helps getting started with data modeling faster.
+Select all four tables in our `ECOM` schema and click through the data model generation wizard. We'll inspect these generated files in the next section and start making changes to them.
+
+[aws-docs-sec-group]:
+  https://docs.aws.amazon.com/vpc/latest/userguide/security-groups.html
+[aws-docs-sec-group-rule]:
+  https://docs.aws.amazon.com/vpc/latest/userguide/security-group-rules.html
+[cube-cloud-signin]: https://cubecloud.dev/auth
+[cube-cloud-signup]: https://cubecloud.dev/auth/signup
+[ref-conf-db]: /config/databases
+[ref-getting-started-cloud-generate-models]:
+  /getting-started/cloud/generate-models