feat(dwh): update

Author: SamyOubouaziz

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

@@ -108,14 +108,17 @@ Your Data Warehouse for ClickHouse® is now integrated into your Metabase platfo
 
 Refer to the official [ClickHouse®](https://clickhouse.com/docs/integrations/metabase) and [Metabase](https://www.metabase.com/docs/latest/databases/connections/clickhouse) documentation portals for more information.
 
-## PowerBI
+## PowerBI Desktop
 
-Power BI Desktop is a robust data visualization tool that allows users to create dynamic reports and dashboards from various data sources.
+Power BI Desktop is a robust data visualization tool that allows users to create dynamic reports and dashboards from various data sources. 
 
 <Message type="note">
 ODBC connection between PowerBI and Data Warehouse for ClickHouse® is currently not supported.
 </Message>
 
+
+0. Make sure you installed [PowerBI Desktop]https://www.microsoft.com/en-us/download/details.aspx?id=58494/), and [MySQL Connector/NET](https://dev.mysql.com/downloads/connector/net/).
+
 1. Open PowerBI Desktop.
 
 2. Click **Get Data** from the top ribbon, then select **More...** at the bottom of the drop-down menu. A pop-up displays.

pages/data-warehouse/how-to/import-data.mdx

@@ -39,43 +39,40 @@ Scaleway Data Warehouse for ClickHouse® allows you to quickly import any type o
     --user scwadmin \
     --password '<YOUR_DEPLOYMENT_PASSWORD>'
     ```
-
+    
 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.
 </Message>
 
-### Importing data into your deployment
-
-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, 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.
+### Importing data into your deployment from an Object Storage bucket
 
-- Using `clickhouse-client`: execute an INSERT query to populate a table by specifying the bucket URL and the file format.
+There are several ways to import data into your Data Warehouse for ClickHouse® deployment, depending on how your data is stored. One of the most common ways is to import it from an Object Storage bucket in any format supported by ClickHouse®.
 
 <Tabs id="import-data-into-data-warehouse">
 <TabsTab label="s3 table function">
-    ```sql
-    INSERT INTO your_table
-    SELECT *
-    FROM s3('https://my-bucket.s3.scaleway.com/data/my_data.csv', 'CSV', 'column1 String, column2 Int32')
-    ```
+The `s3` table function reads data directly from an Object Storage bucket by specifying the URL of the bucket, the file format, and the data structure.
+```sql
+INSERT INTO your_table
+SELECT *
+FROM s3('https://my-bucket.s3.scaleway.com/data/my_data.csv', 'CSV', 'column1 String, column2 Int32')
+```
 </TabsTab>
 <TabsTab label="s3 storage engine">
+The `s3` Storage Engine creates a table that points to data table stored in an Object Storage bucket, then inserts data from the bucket table into the target table in your Data Warehouse for ClickHouse® deployment.
 ```sql
     CREATE TABLE your_table_s3
-    ENGINE = S3('https://my-bucket.s3.amazonaws.com/data/my_data.csv', 'CSV', 'column1 String, column2 Int32')
+    ENGINE = S3('https://my-bucket.s3.scaleway.com/data/my_data.csv', 'CSV', 'column1 String, column2 Int32')
     ```
 </TabsTab>
 <TabsTab label="ClickHouse® Client">
-    ```sh
-    clickhouse-client --query="INSERT INTO your_table FORMAT CSVWithNames" \
-    --url "https://my-bucket.s3.scaleway.com/data/my_data.csv" \
-    --input_format_with_names=1
-    ```
+The `clickhouse-client` executes an INSERT query to populate a table in your deployment by specifying the URL of the source Object Storage bucket and the file format.
+  ```sh
+  clickhouse-client --query="INSERT INTO your_table FORMAT CSVWithNames" \
+  --url "https://my-bucket.s3.scaleway.com/data/my_data.csv" \
+  --input_format_with_names=1
+  ```
 </TabsTab>
 </Tabs>