diff --git a/samples/features/sql-big-data-cluster/README.md b/samples/features/sql-big-data-cluster/README.md
index 0b949e01..f65ce8e2 100644
--- a/samples/features/sql-big-data-cluster/README.md
+++ b/samples/features/sql-big-data-cluster/README.md
@@ -1,25 +1,12 @@
 # SQL Server big data clusters
 
-## Pre-requisites
-1. Kubernetes cluster configuration & Kubectl command-line utility
-2. Curl utility
-3. Sqlcmd and bcp utility (Installation instructions [here for Linux](https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-setup-tools?view=sql-server-ver15) and [here for Windows](https://www.microsoft.com/en-us/download/details.aspx?id=53591))
-4. Azure Data Studio or SQL Server Management Studio
-5. SQL Server 2019 big data cluster
-
-Installation instructions for SQL Server 2019 big data cluster can be found [here](https://docs.microsoft.com/en-us/sql/big-data-cluster/deployment-guidance?view=sql-server-2017).
+Installation instructions for SQL Server 2019 big data clusters can be found [here](https://docs.microsoft.com/en-us/sql/big-data-cluster/deployment-guidance?view=sql-server-ver15).
 
 ## Samples Setup
 
-**Before you begin**, run the CMD script called [bootstrap-sample-db.cmd](bootstrap-sample-db.cmd) or the shell script [bootstrap-sample-db.sh](bootstrap-sample-db.sh) depending on your platform. This script does the following operations:
+**Before you begin**, load the sample data into your big data cluster. For instructions, see [Load sample data into a SQL Server 2019 big data cluster](https://docs.microsoft.com/en-us/sql/big-data-cluster/tutorial-load-sample-data).
 
-1. Downloads the tpcx-bb 1GB sample database
-1. Restores the database on the SQL Master instance
-1. Executes the bootstrap-sample-db.SQL script
-1. Exports the web_clickstreams, inventory, customer & product_reviews tables to files
-1. Uploads the web_clickstreams CSV file to the HDFS inside the SQL Server 2019 big data cluster
-
-__[data-pool](data-pool/)__
+## __[data-pool](data-pool/)__
 
 SQL Server 2019 big data cluster contains a data pool which consists of many SQL Server instances to store data & query in a scale-out manner.
 
@@ -29,7 +16,7 @@ The sample script [data-pool/data-ingestion-spark.sql](data-pool/data-ingestion-
 ### Data ingestion using sql
 The sample script [data-pool/data-ingestion-sql.sql](data-pool/data-ingestion-sql.sql) shows how to perform data ingestion from T-SQL into data pool table(s).
 
-__[data-virtualization](data-virtualization/)__
+## __[data-virtualization](data-virtualization/)__
 
 SQL Server 2019 or SQL Server 2019 big data cluster can use PolyBase external tables to connect to other data sources.
 
@@ -41,11 +28,11 @@ SQL Server 2019 uses new ODBC connectors to enable connectivity to SQL Server, O
 
 The [data-virtualization/oracle](data-virtualization/oracle) folder contains samples that demonstrate how to query data in Oracle using external tables.
 
-__[deployment](deployment/)__
+## __[deployment](deployment/)__
 
 The [deployment](deployment) folder contains the scripts for deploying a Kubernetes cluster for SQL Server 2019 big data cluster.
 
-__[machine-learning](machine-learning/)__
+## __[machine-learning](machine-learning/)__
 
 SQL Server 2016 added support executing R scripts from T-SQL. SQL Server 2017 added support for executing Python scripts from T-SQL. SQL Server 2019 adds support for executing Java code from T-SQL. SQL Server 2019 big data cluster adds support for executing Spark code inside the big data cluster.