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AWS prescriptive-guidance documentation change

Service: prescriptive-guidance · 2026-07-10 · Documentation low

File: prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-emr.md

Summary

Fixed CLI command syntax (replaced long dashes with standard hyphens), removed unnecessary bolding in configuration examples, improved catalog name documentation phrasing, and reformatted numbered lists

Security assessment

Changes correct CLI command syntax and improve documentation clarity. No security configurations were modified or added. The Spark catalog security parameters remain unchanged.

Diff

diff --git a/prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-emr.md b/prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-emr.md
index 09b5b8e7c..3f6b22cfa 100644
--- a//prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-emr.md
+++ b//prescriptive-guidance/latest/apache-iceberg-on-aws/iceberg-emr.md
@@ -70 +69 @@ where:
-     * `<catalog_name>` is your Iceberg Spark session catalog name. Replace it with a name of your choice, and remember to change the references throughout all configurations that are associated with this catalog. In your code, you can refer to your Iceberg tables by using the fully qualified table name, including the Spark session catalog name, as follows:
+     * `<catalog_name>` is your Iceberg Spark session catalog name. Replace it with a name of your choice, and remember to change the references throughout all configurations that are associated with this catalog. In your code, you can refer to your Iceberg tables with the fully qualified table name, including the Spark session catalog name, as follows:
@@ -118 +117 @@ You can use these steps to submit the Iceberg Spark job:
-            **"spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions",**
+            "spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions",
@@ -120 +119 @@ You can use these steps to submit the Iceberg Spark job:
-            **"spark.sql.catalog. <catalog_name>=org.apache.iceberg.spark.SparkCatalog",**
+            "spark.sql.catalog.<catalog_name>=org.apache.iceberg.spark.SparkCatalog",
@@ -122 +121 @@ You can use these steps to submit the Iceberg Spark job:
-            **"spark.sql.catalog. <catalog_name>.type=glue",**
+            "spark.sql.catalog.<catalog_name>.type=glue",
@@ -124 +123 @@ You can use these steps to submit the Iceberg Spark job:
-            **"spark.sql.catalog. <catalog_name>.warehouse=s3://YOUR-BUCKET-NAME/YOUR-FOLDER-NAME/",**
+            "spark.sql.catalog.<catalog_name>.warehouse=s3://YOUR-BUCKET-NAME/YOUR-FOLDER-NAME/",
@@ -133 +132 @@ You can use these steps to submit the Iceberg Spark job:
-        aws emr add-steps ‐‐cluster-id <cluster_id> ‐‐steps file://emr_step_iceberg.json
+        aws emr add-steps --cluster-id <cluster_id> --steps file://emr_step_iceberg.json
@@ -178 +177 @@ To submit an Iceberg Spark job to EMR Serverless by using the AWS CLI:
-        aws emr-serverless start-job-run ‐‐cli-input-json file://emr_serverless_iceberg.json
+        aws emr-serverless start-job-run --cli-input-json file://emr_serverless_iceberg.json
@@ -185,5 +184 @@ To submit an Iceberg Spark job to EMR Serverless by using the EMR Studio console
-  1. Follow the instructions in the [EMR Serverless documentation](https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/jobs-studio.html).
-
-  2. For **Job configuration** , use the Iceberg configuration for Spark provided for the AWS CLI and customize the highlighted fields for Iceberg. For detailed instructions, see [Using Apache Iceberg with EMR Serverless](https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/using-iceberg.html) in the Amazon EMR documentation.
-
-
+1\. Follow the instructions in the [EMR Serverless documentation](https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/jobs-studio.html).
@@ -190,0 +186 @@ To submit an Iceberg Spark job to EMR Serverless by using the EMR Studio console
+2\. For **Job configuration** , use the Iceberg configuration for Spark provided for the AWS CLI and customize the highlighted fields for Iceberg. For detailed instructions, see [Using Apache Iceberg with EMR Serverless](https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/using-iceberg.html) in the Amazon EMR documentation. 
@@ -234 +230 @@ To submit an Iceberg Spark job to Amazon EMR on EKS by using the AWS CLI:
-        aws emr-containers start-job-run ‐‐cli-input-json file://emr_eks_iceberg.json
+        aws emr-containers start-job-run --cli-input-json file://emr_eks_iceberg.json