feat(dwh): update

Author: SamyOubouaziz

pages/data-warehouse/concepts.mdx

@@ -15,7 +15,7 @@ categories:
 
 ## Autoscaling
 
-Autoscaling refers to the ability of a Data Warehouse for ClickHouse® to automatically adjust the number of instances without manual intervention.
+Autoscaling refers to the ability of a Data Warehouse for ClickHouse® deployment to automatically adjust the number of instances without manual intervention.
 Scaling mechanisms ensure that resources are provisioned dynamically to handle incoming requests efficiently while minimizing idle capacity and cost.
 
 ## Bottomless storage
@@ -58,7 +58,7 @@ ClickHouse® employs various indexing techniques, such as primary key and skip i
 
 ## Node 
 
-In the context of a distributed Data Warehouse for ClickHouse® cluster, a node refers to an individual instance that stores and processes a portion of the data. Each node participates in data distribution, query execution, and replication to ensure balanced load, fault tolerance, and high availability. Nodes communicate with each other to coordinate tasks, execute queries in parallel, and maintain synchronized data replicas. They are configured with specific settings to define their roles and manage resources, allowing the cluster to scale and perform efficiently.
+In the context of a distributed Data Warehouse for ClickHouse® cluster (also called "deployment"), a node refers to an individual instance that stores and processes a portion of the data. Each node participates in data distribution, query execution, and replication to ensure balanced load, fault tolerance, and high availability. Nodes communicate with each other to coordinate tasks, execute queries in parallel, and maintain synchronized data replicas. They are configured with specific settings to define their roles and manage resources, allowing the cluster to scale and perform efficiently.
 
 ## Replica set
 

pages/data-warehouse/how-to/connect-bi-tools.mdx

@@ -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.
 
 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.

pages/data-warehouse/how-to/create-deployment.mdx

@@ -32,9 +32,6 @@ A Data Warehouse is a centralized repository designed to store, manage, and anal
 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>
 
 5. Enter a name for your deployment, or keep the automatically generated one.
 

pages/data-warehouse/how-to/manage-delete-deployment.mdx

@@ -31,10 +31,9 @@ This page explains how to manage and delete your Data Warehouse deployment.
 3. Click the **Settings** tab.
 
 4. From this view, you can:
-
-  - [Edit the autoscaling configuration](/data-warehouse/how-to/edit-autoscaling/) of your deployment.
-  - Add, consult, or delete tags for your deployment.
-  - [Delete your Data Warehouse deployment](#how-to-delete-a-data-warehouse).
+    - [Edit the autoscaling configuration](/data-warehouse/how-to/edit-autoscaling/) of your deployment.
+    - Add, consult, or delete tags for your deployment.
+    - [Delete your Data Warehouse 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.

pages/data-warehouse/quickstart.mdx

@@ -30,9 +30,6 @@ Data Warehouse for ClickHouse® is a centralized repository to store large sets
 3. Select the **region** in which to create your deployment.
 
 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>
 
 5. Enter a name for your deployment, or keep the automatically generated one.
 
@@ -181,13 +178,17 @@ To perform more in-depth tests with larger data sets, refer to our [dedicated do
 
 ## 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:
+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
   - Access the ClickHouse® HTTP console
   - Connect to your deployment using frameworks
   - Connect your deployment to your preferred BI tools
+
+2. Click the **Settings** tab. From this view, you can:
+
+  - [Edit the autoscaling configuration](/data-warehouse/how-to/edit-autoscaling/) of your deployment
+  - Add tags to your deployment for organization purposes.
   - [Delete your Data Warehouse deployment](/data-warehouse/how-to/manage-delete-deployment/#how-to-delete-a-data-warehouse).
 
 3. Click the **Databases** tab. From this view you can: