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SamyOubouaziz · jcirinosclwy · web-flow · commit 432d71238325 · 2025-06-02T11:55:34.000+02:00
Co-authored-by: Jessica &lt;113192637+jcirinosclwy@users.noreply.github.com&gt;
diff --git a/pages/data-warehouse/concepts.mdx b/pages/data-warehouse/concepts.mdx
@@ -30,15 +30,15 @@ ClickHouse® is a high-performance, column-oriented, distributed database manage
 
 ## ClickHouse® HTTP console
 
-The ClickHouse® HTTP console is a web interface that allows you to interact easily interact with your Data Warehouse deployment from the Scaleway console by executing SQL queries.
+The ClickHouse® HTTP console is a web interface that allows you to interact easily with your Data Warehouse deployment from the Scaleway console by executing SQL queries.
 
 <Message type="note">
 Make sure to enter valid credentials in the top-right fields before executing queries.
 </Message>
 
 ## Column-oriented storage
 
-ClickHouse® stores data in a column-oriented format, which significantly optimizes read performance for analytical queries. By storing data in columns rather than rows, ClickHouse® reduces the amount of I/O operations needed during query execution, as it only reads the necessary columns from disk.
+ClickHouse® stores data in a column-oriented format, which significantly optimizes read performance for analytical queries. By storing data in columns rather than rows, ClickHouse® reduces the number of I/O operations needed during query execution, as it only reads the necessary columns from disk.
 
 ## Compression
 
diff --git a/pages/data-warehouse/faq.mdx b/pages/data-warehouse/faq.mdx
@@ -12,4 +12,4 @@ productIcon: DataWarehouseProductIcon
 
 ## What is Scaleway Data Warehouse for ClickHouse®?
 
-Its like a warehouse but for data, and its for ClickHouse® also.
+Its like a warehouse but for data, and it is for ClickHouse® also.
diff --git a/pages/data-warehouse/how-to/connect-applications.mdx b/pages/data-warehouse/how-to/connect-applications.mdx
@@ -24,7 +24,7 @@ To connect your deployment with BI tools, refer to the [dedicated documentation]
 - [Signed up to the private beta](https://www.scaleway.com/fr/betas/) and received a confirmation email.
 - Created a [Data Warehouse deployment](/data-warehouse/how-to/create-deployment/)
 
-1. Click **Data Warehouse** under **Managed Services** on the side menu. The Data Warehouse deployment page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.
 
 2. Click the name of the Data Warehouse deployment you want to connect to. The overview tab of the deployment displays.
 
diff --git a/pages/data-warehouse/how-to/connect-bi-tools.mdx b/pages/data-warehouse/how-to/connect-bi-tools.mdx
@@ -1,9 +1,9 @@
 ---
 meta:
-  title: How to Connect Your Deployment to BI Tools
+  title: How to connect your deployment to BI tools
   description: Learn how to connect your Scaleway Data Warehouse for ClickHouse® deployment to Business Intelligence (BI) tools.
 content:
-  h1: How to Connect Your Deployment to BI Tools
+  h1: How to connect your deployment to BI tools
   paragraph: Learn how to connect your Scaleway Data Warehouse for ClickHouse® deployment to Business Intelligence (BI) tools.
 tags: connect bi-tools deployment data warehouse ClickHouse® integrate integration
 dates:
@@ -28,11 +28,11 @@ Tableau is a powerful data visualization and business intelligence tool that ena
 
 ### Download and install the ClickHouse® connector for Tableau
 
-5. Download and install [Tableau Desktop](https://www.tableau.com/products/desktop/download).
+1. Download and install [Tableau Desktop](https://www.tableau.com/products/desktop/download).
 
-6. Follow the instructions for `clickhouse-tableau-connector-jdbc` to [download the compatible version](https://github.com/ClickHouse/clickhouse-java/releases/) of the ClickHouse® JDBC driver.
+2. Follow the instructions for `clickhouse-tableau-connector-jdbc` to [download the compatible version](https://github.com/ClickHouse/clickhouse-java/releases/) of the ClickHouse® JDBC driver.
 
-4. Store the JDBC driver in the `Drivers` folder. If the directory does not exist, create it:
+3. Store the JDBC driver in the `Drivers` folder. If the directory does not exist, create it:
     - macOS/Linux: `~/Library/Tableau/Drivers`
     - Windows: `C:\Program Files\Tableau\Drivers`
 
@@ -46,7 +46,7 @@ Tableau is a powerful data visualization and business intelligence tool that ena
 
 4. Enter the following connection parameters:
 
-6. Enter your connection details:
+5. Enter your connection details:
 
     | Setting  | Value                                                  |
     | -------- |--------------------------------------------------------|
@@ -60,11 +60,11 @@ Tableau is a powerful data visualization and business intelligence tool that ena
       Make sure to enable the SSL if you are using ClickHouse® Cloud. 
     </Message>
 
-7. Click **Sign In**. A new Tableau workbook appears.
+6. Click **Sign In**. A new Tableau workbook appears.
 
-8. Select **default** from the **Schema** dropdown menu in the left side panel. A list of tables appear.
+7. Select **default** from the **Schema** dropdown menu in the left side panel. A list of tables appears.
 
-9. Your Data Warehouse for ClickHouse® is now integrated into your Tableau platform.
+8. Your Data Warehouse for ClickHouse® is now integrated into your Tableau platform.
 
 Refer to the official [ClickHouse®](https://clickhouse.com/docs/integrations/tableau) and [Tableau](https://exchange.tableau.com/products/1064) documentation portals for more information.
 
@@ -94,7 +94,7 @@ Integrating ClickHouse® into Metabase enhances query performance and scalabilit
 
 1. Click on the gear icon in the top-right corner and select **Admin Settings** to visit your Metabase admin page.
 
-2. Click **Add a database**. Alternately, you can click the **Add database** button from the **Databases** tab.
+2. Click **Add a database**. Alternatively, you can click the **Add database** button from the **Databases** tab.
 
 3. If your driver installation worked, you will see ClickHouse® in the dropdown menu for Database type.
 
@@ -110,6 +110,6 @@ Refer to the official [ClickHouse®](https://clickhouse.com/docs/integrations/me
 
 ## PowerBI
 
-Power BI Desktop is a robust data visualization tool that allows users to create dynamic reports and dashboards from various data sources. Before connecting your Data Warehouse for ClickHouse® deployment, Make sure you have downloaded and installed [Power BI Desktop](https://www.microsoft.com/en-us/download/details.aspx?id=58494).
+Power BI Desktop is a robust data visualization tool that allows users to create dynamic reports and dashboards from various data sources. Before connecting your Data Warehouse for ClickHouse® deployment, make sure you have downloaded and installed [Power BI Desktop](https://www.microsoft.com/en-us/download/details.aspx?id=58494).
 
 Refer to the official [ClickHouse®](https://clickhouse.com/docs/integrations/powerbi) and [PowerBI](https://learn.microsoft.com/en-us/power-query/connectors/clickhouse) documentation portals for more information.
diff --git a/pages/data-warehouse/how-to/create-deployment.mdx b/pages/data-warehouse/how-to/create-deployment.mdx
@@ -23,32 +23,32 @@ A Data Warehouse is a centralized repository designed to store, manage, and anal
 
 ## Creating a Data Warehouse Deployment
 
-1. Click **ClickHouse®** under **Managed Services** on the side menu. The Managed Data Warehouse for ClickHouse® page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Managed Data Warehouse for ClickHouse® page displays.
 
-3. Click **+ Create deployment**. The Data Warehouse deployment creation wizard displays.
+2. Click **+ Create deployment**. The Data Warehouse deployment creation wizard displays.
 
-4. Select the **region** in which to create your deployment.
+3. Select the **region** in which to create your deployment.
 
-5. Choose an autoscaling configuration:
+4. Choose an autoscaling configuration:
     - **Presets**: select one of several pre-configured deployments adapted to the most common use cases.
     - **Custom**: manually enter the vCPU autoscaling minimum and maximum values, and the number of nodes for your deployment.
     <Message type="note">
     You can update the autoscaling configuration of your deployment at any time after its creation.
     </Message>
 
-6. Enter a name for your deployment, or keep the automatically generated one.
+5. Enter a name for your deployment, or keep the automatically generated one.
 
-7. Configure the administrator credentials for your deployment by entering a password, or by generating a random one.
+6. Configure the administrator credentials for your deployment by entering a password or generating a random one.
     <Message type="note">
     The username cannot be modified.
     </Message>
 
-8. Click the **+ Advanced settings** button, then configure the following elements:
+7. Click the **+ Advanced settings** button, then configure the following elements:
 
     - Select a ClickHouse® version.
     - Customize your deployment's storage according to your needs.
     - Select a network configuration.
 
-9. Optionally, you can use the cost estimator to simulate the cost of your deployment.
+8. Optionally, you can use the cost estimator to simulate the cost of your deployment.
 
-10. Click **Create deployment** to confirm. A list of your Data Warehouse for ClickHouse® deployments displays, showing the newly created resources.
+9. Click **Create deployment** to confirm. A list of your Data Warehouse for ClickHouse® deployments displays, showing the newly created resources.
diff --git a/pages/data-warehouse/how-to/import-data.mdx b/pages/data-warehouse/how-to/import-data.mdx
@@ -17,19 +17,19 @@ Data federation allows you to query and combine data from multiple sources, enab
 
 Scaleway Data Warehouse for ClickHouse® allows you to quickly import any type of compatible data into a [bottomless storage](/data-warehouse/concepts/#bottomless-storage) with minimal configuration.
 
-## How to import data using the CLickHouse® CLI
+## How to import data using the ClickHouse® CLI
 
-### Connecting to the CLickHouse® CLI
+### Connecting to the ClickHouse® CLI
 
-1. Click **Data Warehouse** under **Managed Services** on the side menu. The Data Warehouse deployment page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.
 
 2. Click the name of the Data Warehouse deployment you want to connect to. The overview tab of the deployment displays.
 
 3. Click **Connect** next to **Frameworks** in the **Connect to your deployment** section. The connection wizard displays. 
 
 4. Select **Protocols**, then copy the command in the **ClickHouse® CLI** tab.
 
-5. In a terminal, paste and execute the copied command to connect to your deployment. Make sure to replace the placeholders by the corresponding values.
+5. In a terminal, paste and execute the copied command to connect to your deployment. Make sure to replace the placeholders with the corresponding values.
 
     ```sh
     clickhouse client \
@@ -40,7 +40,7 @@ Scaleway Data Warehouse for ClickHouse® allows you to quickly import any type o
     --password '<YOUR_DEPLOYMENT_PASSWORD>'
     ```
 
-7. You are now connected to your deployments using the ClickHouse® CLI, you can now import data.
+6. You are now connected to your deployments using the ClickHouse® CLI, you can now import data.
 
 <Message type="tip">
 You can connect to your deployment using the ClickHouse® HTTP console directly from the **Overview** tab.
@@ -50,7 +50,7 @@ You can connect to your deployment using the ClickHouse® HTTP console directly
 
 There are several ways to import data into your Data Warehouse for ClickHouse® deployment, depending on how your data is stored:
 
-- Using the `s3` table function: directly read data from an Amazon S3 bucket by specifying the bucket URL, the file format, and data structure.
+- Using the `s3` table function: directly read data from an Amazon S3 bucket by specifying the bucket URL, file format, and data structure.
 
 - Using the `s3` Storage Engine: create a table that points to your S3 data, then insert data from the S3 table into your target table.
 
diff --git a/pages/data-warehouse/how-to/index.mdx b/pages/data-warehouse/how-to/index.mdx
@@ -1,8 +1,8 @@
 ---
 meta:
   title: Data Warehouse - How Tos
-  description: Practical guides for using Scaleway  Data Warehouse.
+  description: Practical guides for using Scaleway Data Warehouse.
 content:
   h1: Data Warehouse - How Tos
-  paragraph: Practical guides for using Scaleway  Data Warehouse.
+  paragraph: Practical guides for using Scaleway Data Warehouse.
 ---
diff --git a/pages/data-warehouse/how-to/manage-delete-deployment.mdx b/pages/data-warehouse/how-to/manage-delete-deployment.mdx
@@ -24,7 +24,7 @@ This page explains how to manage and delete your Data Warehouse deployment.
 
 ## How to manage a Data Warehouse deployment
 
-1. Click **Data Warehouse** under **Managed Services** on the side menu. The Data Warehouse deployment page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.
 
 2. Click the name of the Data Warehouse deployment you want to manage. The overview tab of the deployment displays. From this view, you can see the configuration of your deployment.
 
@@ -36,7 +36,7 @@ This page explains how to manage and delete your Data Warehouse deployment.
   - [Delete your Data Warehouse deployment](/data-warehouse/how-to/manage-delete-deployment/#how-to-delete-a-data-warehouse).
 
 <Message type="note">
-Once you have created a Data Warehouse deployment, you cannot edit certain parameters, such as the node type, or its computing resources. You must [create a new Data Warehouse deployment](/data-warehouse/how-to/create-depoyment/) instead.
+Once you have created a Data Warehouse deployment, you cannot edit certain parameters, such as the node type or its computing resources. You must [create a new Data Warehouse deployment](/data-warehouse/how-to/create-depoyment/) instead.
 </Message>
 
 ## How to delete a Data Warehouse deployment
@@ -45,7 +45,7 @@ Once you have created a Data Warehouse deployment, you cannot edit certain param
   This action is irreversible and will permanently delete this Data Warehouse deployment and all its associated data.
 </Message>
 
-1. Click **Data Warehouse** under **Managed Services** on the side menu. The Data Warehouse deployment page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.
 
 2. Click the name of the Data Warehouse deployment you want to delete. The **Overview** tab of the deployment displays.
 
diff --git a/pages/data-warehouse/how-to/manage-users.mdx b/pages/data-warehouse/how-to/manage-users.mdx
@@ -3,7 +3,7 @@ meta:
   title: How to manage users in Scaleway Data Warehouse for ClickHouse®
   description: Learn how to manage users in your Scaleway Data Warehouse for ClickHouse® deployment.
 content:
-  h1: How to Manage Users in Scaleway Data Warehouse for ClickHouse®
+  h1: How to manage users in Scaleway Data Warehouse for ClickHouse®
   paragraph: Learn how to manage users in your Scaleway Data Warehouse for ClickHouse® deployment.
 tags: manage users data warehouse ClickHouse® roles permissions admin administrator user
 dates:
diff --git a/pages/data-warehouse/quickstart.mdx b/pages/data-warehouse/quickstart.mdx
@@ -23,25 +23,25 @@ Data Warehouse for ClickHouse® is a centralized repository to store large sets
 
 ## How to create a Data Warehouse for ClickHouse® deployment
 
-1. Click **ClickHouse®** under **Managed Services** on the side menu. The Managed Data Warehouse for ClickHouse® page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Managed Data Warehouse for ClickHouse® page displays.
 
-3. Click **+ Create deployment**. The Data Warehouse deployment creation wizard displays.
+2. Click **+ Create deployment**. The Data Warehouse deployment creation wizard displays.
 
-4. Select the **region** in which to create your deployment.
+3. Select the **region** in which to create your deployment.
 
-5. Select the **For basic developments** preset.
+4. Select the **For basic developments** preset.
     <Message type="note">
     You can update the autoscaling configuration of your deployment at any time after its creation.
     </Message>
 
-6. Enter a name for your deployment, or keep the automatically generated one.
+5. Enter a name for your deployment, or keep the automatically generated one.
 
-7. Configure the administrator credentials for your deployment by entering a password, or by generating a random one.
+6. Configure the administrator credentials for your deployment by entering a password or generating a random one.
     <Message type="note">
     The username cannot be modified.
     </Message>
 
-9. Review the estimated cost, then click **Create deployment** to confirm. A list of your Data Warehouse for ClickHouse® deployments displays, showing the newly created resources.
+7. Review the estimated cost, then click **Create deployment** to confirm. A list of your Data Warehouse for ClickHouse® deployments displays, showing the newly created resources.
 
 ## How to connect to your deployment
 
@@ -51,7 +51,7 @@ Data Warehouse for ClickHouse® is a centralized repository to store large sets
 
 2. Click the **ClickHouse® HTTP console** button. A new tab containing the console displays.
 
-3. In the top-corner of the ClickHouse® HTTP console, replace the `default` login by `scwadmin`.
+3. In the top corner of the ClickHouse® HTTP console, replace the `default` login by `scwadmin`.
 
 4. Enter the password you set up during the creation of your deployment.
 
@@ -84,7 +84,7 @@ You can now execute SQL commands.
     --password '<YOUR_PASSWORD>' \
     ```
 
-You are now connected to your Data Warehouse for ClickHouse® deployment, and can perform SQL queries.
+You are now connected to your Data Warehouse for ClickHouse® deployment and can perform SQL queries.
 
 ## How to import and query an example data set
 
@@ -177,15 +177,15 @@ This example is based on the **New York Taxi Data** from the [Official ClickHous
     LIMIT 10;
     ```
 
-To perform more in-depth tests with larger data sets, refer to our [dedicated documentation](/data-warehouse/reference-content/example-datasets/)
+To perform more in-depth tests with larger data sets, refer to our [dedicated documentation](/data-warehouse/reference-content/example-datasets/).
 
 ## How to manage your deployment
 
 1. From the Data Warehouse for ClickHouse® deployments page, click the name of the deployment you want to manage. The overview tab of the deployment displays. From this view, you can see the configuration of your deployment.
 
 2. Click the **Settings** tab. From this view, you can:
 
-  - Access the CLickHouse® HTTP console
+  - Access the ClickHouse® HTTP console
   - Connect to your deployment using frameworks
   - Connect your deployment to your preferred BI tools
   - [Delete your Data Warehouse deployment](/data-warehouse/how-to/manage-delete-deployment/#how-to-delete-a-data-warehouse).
@@ -196,16 +196,16 @@ To perform more in-depth tests with larger data sets, refer to our [dedicated do
 
 4. Click the **Users** tab. From this view, you can:
 
-    - view the users in your deployment.
-    - modify the password of a user.
+    - View the users in your deployment.
+    - Modify the password of a user.
 
 ## How to delete your deployment
 
 <Message type="important">
   This action is irreversible and will permanently delete this Data Warehouse deployment and all its associated data.
 </Message>
 
-1. Click **Data Warehouse** under **Managed Services** on the side menu. The Data Warehouse deployment page displays.
+1. Click **ClickHouse®** under **Data & Analytics** on the side menu. The Data Warehouse deployment page displays.
 
 2. Click the name of the Data Warehouse deployment you want to delete. The **Overview** tab of the deployment displays.
 

Original file line number	Diff line number	Diff line change
`@@ -12,4 +12,4 @@ productIcon: DataWarehouseProductIcon`
`12`	`12`
`13`	`13`	`## What is Scaleway Data Warehouse for ClickHouse®?`
`14`	`14`
`15`		`-Its like a warehouse but for data, and its for ClickHouse® also.`
	`15`	`+Its like a warehouse but for data, and it is for ClickHouse® also.`