diff --git a/site/sigmaguides/src/snowflake_cost_per_query_template/snowflake_cost_per_query_template.md b/site/sigmaguides/src/snowflake_cost_per_query_template/snowflake_cost_per_query_template.md
index 5992fe91..80aa476d 100644
--- a/site/sigmaguides/src/snowflake_cost_per_query_template/snowflake_cost_per_query_template.md
+++ b/site/sigmaguides/src/snowflake_cost_per_query_template/snowflake_cost_per_query_template.md
@@ -46,46 +46,15 @@ How to deploy Sigma's **Snowflake Cost per Query** template.
![Footer](assets/sigma_footer.png)
-## Building the query_history_enriched table with dbt
-Duration: 5
-
-
-One way to create the `query_history_enriched` table is by deploying the dbt-snowflake-monitoring dbt package from Select.
-
-This package has a model called `query_history_enriched` that enriches the Snowflake `query_history` table with query cost information. It will calculate the actual cost (in currency) for every query run in your Snowflake account.
-
-Once the package has been deployed, Sigma needs to be able to access the table(s) created.
-
-
Identify the role used in your Sigma connection.
-
Run the following command:
-
-
-```plaintext
-grant select on table {database name}.{schema name}.query_history_enriched to role {role used in Sigma connection};
-```
-Note that you may need to grant usage on the database and schema that host this table.
-
-Verify that you can see the new table(s) in the Sigma connection browser:
-
-
-
-**Next, advance to step 4.**
-
-![Footer](assets/sigma_footer.png)
-
-
## Building the query_history_enriched table without dbt
Duration: 5
-
-Another way to create the `query_history_enriched` table is by running the attached SQL script in your Snowflake account.
+You will create the `query_history_enriched` table by running the attached SQL script in your Snowflake account.
[Download the SQL script here!](https://github.com/sigmacomputing/quickstarts-public/blob/main/snowflake_cost_per_query_template/query_history_enriched.sql)
+This script takes Snowflake's new `query_attribution_history` table, which attributes compute credits to each query, and uses it to enrich the `query_history` table. The script also sets up incremental materialization of the new `query_history_enriched` table so that it updates nightly.
+
**The script requires you to specify a few parameters:**
materialization_role_name : the role that will create and update the query_history_enriched table