diff --git a/samples/features/sql-big-data-cluster/app-deploy/README.md b/samples/features/sql-big-data-cluster/app-deploy/README.md
index 91713495..a825bde2 100644
--- a/samples/features/sql-big-data-cluster/app-deploy/README.md
+++ b/samples/features/sql-big-data-cluster/app-deploy/README.md
@@ -1,38 +1,36 @@
-# Samples on how to deploy SQL Sever Big Data Cluster
+# Samples on how to deploy applications to SQL Server big data cluster
 
 ## Pre-requisites
-* CTP 2.3 or later
-* mssqlctl CLI familiarity
+* SQL Server big data cluster CTP 2.3 or later
+* `mssqlctl` CLI familiarity
 
-If you are unfamiilar with mssqlctl please refer to - [App Deployment in SQL Server big data cluster](https://docs.microsoft.com/en-us/sql/big-data-cluster/big-data-cluster-create-apps?view=sqlallproducts-allversions). 
+If you are unfamiliar with `mssqlctl` please refer to - [App Deployment in SQL Server big data cluster](https://docs.microsoft.com/en-us/sql/big-data-cluster/big-data-cluster-create-apps?view=sqlallproducts-allversions) for more information.
 
 * Tip 
 **mssqlctl app -h** will display the various commands to manage the app
 
-
-## Python 
+## Available samples
+### Python 
 These samples demonstrates how you can deploy a simple Python app into SQL Server big data cluster as container app as web service that is swagger compliant for building your application.
 
-
 __[addpy](addpy/)__
 
 __[magic8ball](magic8ball/)__
 
-
-## R 
+### R 
 These samples demonstrates how you can deploy a simple R app into SQL Server big data cluster as container app as web service that is swagger compliant for building your application. 
 
 __[RollDice](RollDice/)__
 
 This sample demonstrates the use of data frames
 
-## MLeap 
+### MLeap 
 __[mleap](mleap/)__
 
 This sample demonstrates how you use a MLeap bundle (a Spark model serialized in this format) and run it outside of Spark. The sample is based on the MLeap sample available here http://mleap-docs.combust.ml/mleap-serving/. We are using the MLeap Serving container that is published in Docker Hub. The MLeap Serving is deployed as container in SQL Server big data cluster as a container app with a web service that takes the Leap Frame as the input.  
 
 
-## Sql Server Integration Services 
+### Sql Server Integration Services 
 __[SSIS](SSIS/)__
 
-This sample demonstrates how you can run SSIS applications as a containerized application leveraging the cron capability in Kubernetes. This example uses a Data Transformation Services Package File Format (DTSX) file developed using Visual Studio that, when executed, takes a database backup. This will run as a cron job which creates the backups every minute. Please follow the `README.md` for detailed instructions.
+This sample demonstrates how you can run SSIS applications as a containerized application leveraging the cron capability in Kubernetes. This example uses a Data Transformation Services Package File Format (DTSX) file developed using Visual Studio that, when executed, takes a database backup. This will run as a cron job which creates the backups every minute. Please follow the `README.md` for detailed instructions.
\ No newline at end of file
diff --git a/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md b/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md
index 8811ad08..a1786ab1 100644
--- a/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md
+++ b/samples/features/sql-big-data-cluster/app-deploy/SSIS/README.md
@@ -24,7 +24,7 @@ To run this sample, you need the following prerequisites.
 
 **Software prerequisites:**
 
-1.SQL Server big data cluster - CTP 2.3 or later.
+1.SQL Server big data cluster CTP 2.3 or later.
 2. Optional: to see the SSIS package itself, install Visual Studio 2017 if you don't have it already. After that download and install [SSDT](https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt?view=sql-server-2017#ssdt-for-vs-2017-standalone-installer). 
 3. Optional: install [SSMS](https://docs.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-2017) if it is not already installed.