diff --git a/samples/databases/contoso-data-warehouse/load-contoso-data-warehouse-to-sql-data-warehouse.sql b/samples/databases/contoso-data-warehouse/load-contoso-data-warehouse-to-sql-data-warehouse.sql
index 2547433b..b9125ecf 100644
--- a/samples/databases/contoso-data-warehouse/load-contoso-data-warehouse-to-sql-data-warehouse.sql
+++ b/samples/databases/contoso-data-warehouse/load-contoso-data-warehouse-to-sql-data-warehouse.sql
@@ -1,5 +1,5 @@
 
--- Use PolyBase to load public data from Azure blob storage into the Contoso Retail Data Warehouse schema.
+-- Use PolyBase to load public data from Azure Blob Storage into the Contoso Retail Data Warehouse schema.
 --
 -- This script:
 -- 
@@ -18,7 +18,7 @@
 
 
 -- Create an external data source
--- TYPE: HADOOP - PolyBase uses Hadoop APIs to access data in Azure blob storage.
+-- TYPE: HADOOP - PolyBase uses Hadoop APIs to access data in Azure Blob Storage.
 -- LOCATION: Provide Azure storage account name and blob container name.
 -- CREDENTIAL: Provide the credential created in the previous step.
 
@@ -30,7 +30,7 @@ WITH
 ); 
 GO
 
--- The data is stored in text files in Azure blob storage, and each field is separated with a delimiter. 
+-- The data is stored in text files in Azure Blob Storage, and each field is separated with a delimiter. 
 -- Run this [CREATE EXTERNAL FILE FORMAT][] command to specify the format of the data in the text files. 
 -- he Contoso data is uncompressed and pipe delimited.
 
@@ -52,7 +52,7 @@ GO
 
 
 -- Now let's create the external tables. All we are doing here is defining column names and data types, 
--- and binding them to the location and format of the Azure blob storage files. The location is the folder 
+-- and binding them to the location and format of the Azure Blob Storage files. The location is the folder 
 -- under the root directory of the Azure Storage Blob.
 
 --DimAccount
@@ -779,7 +779,7 @@ WITH
 
 -- Load the data with CTAS
 --
--- The easiest and most efficient way to load data from Azure blob storage is to usu
+-- The easiest and most efficient way to load data from Azure Blob Storage is to usu
 -- Create Table As Select (CTAS). Loading with CTAS leverages the strongly typed 
 -- external tables you have just created.