move quick start overview

Signed-off-by: DanRoscigno <[email protected]>

docs/en/_assets/commonMarkdown/loadMethodIntro.md

@@ -7,6 +7,6 @@ Each of these options has its own advantages, which are detailed in the followin
 
 In most cases, we recommend that you use the INSERT+`FILES()` method, which is much easier to use.
 
-However, the INSERT+`FILES()` method currently supports only the Parquet and ORC file formats. Therefore, if you need to load data of other file formats such as CSV, or perform data changes such as DELETE during data loading, you can resort to Broker Load.
+However, the INSERT+`FILES()` method currently supports only the Parquet, ORC, and CSV file formats. Therefore, if you need to load data of other file formats such as JSON, or perform data changes such as DELETE during data loading, you can resort to Broker Load.
 
 If you need to load a large number of data files with a significant data volume in total (for example, more than 100 GB or even 1 TB), we recommend that you use the Pipe method. Pipe can split the files based on their number or size, breaking down the load job into smaller, sequential tasks. This approach ensures that errors in one file do not impact the entire load job and minimizes the need for retries due to data errors.

docs/en/_assets/commonMarkdown/quickstart-overview-tip.mdx

@@ -0,0 +1,3 @@
+## Learn by doing
+
+Try the [Quick Starts](../../quick_start/quick_start.mdx) to get an overview of using StarRocks with realistic scenarios.

docs/en/introduction/Architecture.md

@@ -1,6 +1,7 @@
 ---
 displayed_sidebar: docs
 ---
+import QSOverview from '../_assets/commonMarkdown/quickstart-overview-tip.mdx'
 
 # Architecture
 
@@ -79,3 +80,4 @@ Queries against hot data scan the cache directly and then the local disk, while
 
 Caching can be enabled when creating tables. If caching is enabled, data will be written to both the local disk and backend object storage. During queries, the CN nodes first read data from the local disk. If the data is not found, it will be retrieved from the backend object storage and simultaneously cached on the local disk.
 
+<QSOverview />