AUTO: Sync ScalarDB docs in English to docs site repo (#1128)

Co-authored-by: josh-wong <[email protected]>

Author: github-actions[bot]

versioned_docs/version-3.14/scalardb-analytics/deployment.mdx

@@ -66,13 +66,13 @@ For more details, refer to [Set up ScalarDB Analytics in the Spark configuration
 
 <h4>Run analytical queries via the Spark driver</h4>
 
-After the EMR Spark cluster has launched, you can use ssh to connect to the primary node of the EMR cluster and run your Spark application. For details on how to create a Spark Driver application, refer to [Spark Driver application](./run-analytical-queries.mdx?spark-application-type=spark-driver#spark-driver-application).
+After the EMR Spark cluster has launched, you can use ssh to connect to the primary node of the EMR cluster and run your Spark application. For details on how to create a Spark Driver application, refer to [Spark Driver application](./run-analytical-queries.mdx?spark-application-type=spark-driver-application#develop-a-spark-application).
 
 <h4>Run analytical queries via Spark Connect</h4>
 
 You can use Spark Connect to run your Spark application remotely by using the EMR cluster that you launched.
 
-You first need to configure the Software setting in the same way as the [Spark Driver application](./run-analytical-queries.mdx?spark-application-type=spark-driver#spark-driver-application). You also need to set the following configuration to enable Spark Connect.
+You first need to configure the Software setting in the same way as the [Spark Driver application](./run-analytical-queries.mdx?spark-application-type=spark-driver-application#develop-a-spark-application). You also need to set the following configuration to enable Spark Connect.
 
 <h5>Allow inbound traffic for a Spark Connect server</h5>
 
@@ -109,7 +109,7 @@ The following describes what you should change the content in the angle brackets
 
 You can run your Spark application via Spark Connect from anywhere by using the remote URL of the Spark Connect server, which is `sc://<PRIMARY_NODE_PUBLIC_HOSTNAME>:15001`.
 
-For details on how to create a Spark application by using Spark Connect, refer to [Spark Connect application](./run-analytical-queries.mdx?spark-application-type=spark-connect#spark-connect-application).
+For details on how to create a Spark application by using Spark Connect, refer to [Spark Connect application](./run-analytical-queries.mdx?spark-application-type=spark-connect#develop-a-spark-application).
 
   </TabItem>
   <TabItem value="databricks" label="Databricks">

versioned_docs/version-3.14/scalardb-analytics/run-analytical-queries.mdx

@@ -282,7 +282,7 @@ You can also use other CLI tools that Spark provides, such as `spark-sql` and `s
 :::
 
   </TabItem>
-  <TabItem value="spark-connect" label="Spark Connect">
+  <TabItem value="spark-connect" label="Spark Connect application">
 
 You can use [Spark Connect](https://spark.apache.org/spark-connect/) to interact with ScalarDB Analytics. By using Spark Connect, you can access a remote Spark cluster and read data in the same way as a Spark Driver application. The following briefly describes how to use Spark Connect.
 
@@ -338,7 +338,7 @@ java -jar my-spark-connect-client.jar
 For details about how you can use Spark Connect, refer to the [Spark Connect documentation](https://spark.apache.org/docs/latest/spark-connect-overview.html).
 
   </TabItem>
-  <TabItem value="jdbc" label="JDBC">
+  <TabItem value="jdbc" label="JDBC application">
 
 Unfortunately, Spark Thrift JDBC server does not support the Spark features that are necessary for ScalarDB Analytics, so you cannot use JDBC to read data from ScalarDB Analytics in your Apache Spark environment. JDBC application is referred to here because some managed Spark services provide different ways to interact with a Spark cluster via the JDBC interface. For more details, refer to [Supported application types](./deployment.mdx#supported-managed-spark-services-and-their-application-types).