[MINOR] polish Iceberg related document (apache#5445)

### What changes were proposed in this pull request?
1. gcp -> GCP
2. correct some configuration

### Why are the changes needed?
polish the document

### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
just document

docs/lakehouse-iceberg-catalog.md

@@ -83,7 +83,7 @@ Supports using static access-key-id and secret-access-key to access S3 data.
 For other Iceberg s3 properties not managed by Gravitino like `s3.sse.type`, you could config it directly by `gravitino.bypass.s3.sse.type`.
 
 :::info
-To configure the JDBC catalog backend, set the `warehouse` parameter to `s3://{bucket_name}/${prefix_name}`. For the Hive catalog backend, set `warehouse` to `s3a://{bucket_name}/${prefix_name}`. Additionally, download the [Iceberg AWS bundle]([Iceberg AWS bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-aws-bundle)) and place it in the `catalogs/lakehouse-iceberg/libs/` directory.
+To configure the JDBC catalog backend, set the `warehouse` parameter to `s3://{bucket_name}/${prefix_name}`. For the Hive catalog backend, set `warehouse` to `s3a://{bucket_name}/${prefix_name}`. Additionally, download the [Iceberg AWS bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-aws-bundle) and place it in the `catalogs/lakehouse-iceberg/libs/` directory.
 :::
 
 #### OSS
@@ -116,7 +116,7 @@ For other Iceberg GCS properties not managed by Gravitino like `gcs.project-id`,
 Please make sure the credential file is accessible by Gravitino, like using `export GOOGLE_APPLICATION_CREDENTIALS=/xx/application_default_credentials.json` before Gravitino server is started.
 
 :::info
-Please set `warehouse` to `gs://{bucket_name}/${prefix_name}`, and download [Iceberg gcp bundle jar](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it to `catalogs/lakehouse-iceberg/libs/`.
+Please set `warehouse` to `gs://{bucket_name}/${prefix_name}`, and download [Iceberg GCP bundle jar](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it to `catalogs/lakehouse-iceberg/libs/`.
 :::
 
 #### Other storages

docs/spark-connector/spark-catalog-hive.md

@@ -77,4 +77,4 @@ When using the `spark-sql` shell client, you must explicitly set the `spark.bypa
 
 ### S3
 
-Please refer to [Hive catalog with s3](../hive-catalog-with-s3.md) to set up a Hive catalog with s3 storage. To query the data stored in s3, you need to add s3 secret to the Spark configuration using `spark.sql.catalog.${hive_catalog_name}.fs.s3a.access.key` and `spark.sql.catalog.${iceberg_catalog_name}.s3.fs.s3a.secret.key`. Additionally, download [hadoop aws jar](https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-aws), [aws java sdk jar](https://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk-bundle) and place them in the classpath of Spark.
+Please refer to [Hive catalog with s3](../hive-catalog-with-s3.md) to set up a Hive catalog with s3 storage. To query the data stored in s3, you need to add s3 secret to the Spark configuration using `spark.sql.catalog.${hive_catalog_name}.fs.s3a.access.key` and `spark.sql.catalog.${hive_catalog_name}.fs.s3a.secret.key`. Additionally, download [hadoop aws jar](https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-aws), [aws java sdk jar](https://mvnrepository.com/artifact/com.amazonaws/aws-java-sdk-bundle) and place them in the classpath of Spark.

docs/spark-connector/spark-catalog-iceberg.md

@@ -131,7 +131,7 @@ You need to add OSS secret key to the Spark configuration using `spark.sql.catal
 
 ### GCS
 
-No extra configuration is needed. Please make sure the credential file is accessible by Spark, like using `export GOOGLE_APPLICATION_CREDENTIALS=/xx/application_default_credentials.json`, and download [Iceberg gcp bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it to the classpath of Spark.
+No extra configuration is needed. Please make sure the credential file is accessible by Spark, like using `export GOOGLE_APPLICATION_CREDENTIALS=/xx/application_default_credentials.json`, and download [Iceberg GCP bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it to the classpath of Spark.
 
 ### Other storage