diff --git a/website/docs/blueprints/data-analytics/spark-operator-s3tables.md b/website/docs/blueprints/data-analytics/spark-operator-s3tables.md
index 315cc9ec3..6adbcdd8c 100644
--- a/website/docs/blueprints/data-analytics/spark-operator-s3tables.md
+++ b/website/docs/blueprints/data-analytics/spark-operator-s3tables.md
@@ -175,9 +175,9 @@ aws s3 cp s3table-iceberg-pyspark.py s3://<S3_BUCKET>/s3table-example/scripts/
 
 Navigate to example directory and submit the Spark job.
 
-### Step 5: Create Amazon S3 Table
+### Step 5: Create Amazon S3 table bucket
 
-This is the main step where you will create an S3 bucket that will be used for S3 Tables, which your PySpark job will access later.
+This is the main step where you will create an S3 table bucket that will be used for S3 Tables, which your PySpark job will access later.
 
 Replace `<S3TABLE_BUCKET_NAME>` with your desired bucket name. Replace `<REGION>` with your AWS region.
 
@@ -188,7 +188,7 @@ aws s3tables create-table-bucket \
     --name "<S3TABLE_BUCKET_NAME>"
 ```
 
- Make note of the S3TABLE ARN generated by this command. Verify the S3 Table ARN from AWS Console.
+ Make note of the S3TABLE BUCKET ARN generated by this command. Verify the S3 table bucket ARN from AWS Console.
 
 ![alt text](img/s3table_bucket.png)
 
@@ -197,8 +197,8 @@ aws s3tables create-table-bucket \
 Update the Spark Operator YAML file as below:
 
 - Open [s3table-spark-operator.yaml](https://github.com/awslabs/data-on-eks/blob/main/analytics/terraform/spark-k8s-operator/examples/s3-tables/s3table-spark-operator.yaml) file in your preferred text editor.
-- Replace `<S3_BUCKET>` with your S3 bucket created by this blueprint(Check Terraform outputs). S3 Bucket is the place where you copied test data and sample spark job in the above steps.
-- REPLACE `<S3TABLE_ARN>` with your S3 Table ARN captured in the previous step.
+- Replace `<S3_BUCKET>` with your S3 bucket created by this blueprint(Check Terraform outputs). S3 bucket is the place where you copied the test data and sample spark job in the above steps.
+- REPLACE `<S3TABLE_BUCKET_ARN>` with your S3 table bucket ARN captured in the previous step.
 
 You can see the snippet of Spark Operator Job config below.
 
@@ -227,7 +227,7 @@ spec:
   mainApplicationFile: "s3a://<S3_BUCKET>/s3table-example/scripts/s3table-iceberg-pyspark.py"
   arguments:
     - "s3a://<S3_BUCKET>/s3table-example/input/"
-    - "<S3TABLE_ARN>"
+    - "<S3TABLE_BUCKET_ARN>"
   sparkConf:
     "spark.app.name": "s3table-example"
     "spark.kubernetes.driver.pod.name": "s3table-example"