diff --git a/docs/hive-catalog-with-cloud-storage.md b/docs/hive-catalog-with-cloud-storage.md
index e8756c5113b..3a16f831e6c 100644
--- a/docs/hive-catalog-with-cloud-storage.md
+++ b/docs/hive-catalog-with-cloud-storage.md
@@ -271,7 +271,7 @@ To access S3-stored tables using Spark, you need to configure the SparkSession a
     sparkSession.sql("...");
 ```
 
-:::Note
+:::note
 Please 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 the Spark. If the JARs are missing, Spark will not be able to access the S3 storage.
 Azure Blob Storage(ADLS) requires the [Hadoop Azure jar](https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-azure), [Azure cloud sdk jar](https://mvnrepository.com/artifact/com.azure/azure-storage-blob) to be placed in the classpath of the Spark.
 for Google Cloud Storage(GCS), you need to download the [Hadoop GCS jar](https://github.com/GoogleCloudDataproc/hadoop-connectors/releases) and place it in the classpath of the Spark.