diff --git a/public/artifacts/getting-started.zip b/public/artifacts/getting-started.zip
new file mode 100644
index 00000000..a4cbf277
Binary files /dev/null and b/public/artifacts/getting-started.zip differ
diff --git a/src/content/docs/snowflake/features/stages.mdx b/src/content/docs/snowflake/features/stages.mdx
index b216dec3..b5fc9416 100644
--- a/src/content/docs/snowflake/features/stages.mdx
+++ b/src/content/docs/snowflake/features/stages.mdx
@@ -18,7 +18,7 @@ In this guide, you will create a database and a table for storing data. You will
 
 ### Download the sample data
 
-You can download the sample data by [right-clicking on this link](./getting-started.zip) and downloading this in your machine. Unzip the file and save the contents to a directory on your local machine.
+You can download the sample data by [clicking on this link](/artifacts/getting-started.zip) and downloading this in your machine. Unzip the file and save the contents to a directory on your local machine.
 
 ### Create a database & table
 
@@ -87,7 +87,7 @@ The expected output is:
 
 ## Loading files from S3
 
-You can also load data from an S3 bucket using the `CREATE STAGE` command. Create a new S3 bucket named `testbucket` and upload the [employees CSV files](./getting-started.zip) to the bucket. You can use LocalStack's `awslocal` CLI to create the S3 bucket and upload the files.
+You can also load data from an S3 bucket using the `CREATE STAGE` command. Create a new S3 bucket named `testbucket` and upload the [employees CSV files](/artifacts/getting-started.zip) to the bucket. You can use LocalStack's `awslocal` CLI to create the S3 bucket and upload the files.
 
 ```bash
 awslocal s3 mb s3://testbucket