Setting Up Snowflake Clean Room: A Comprehensive Guide

Introduction

Snowflake Clean Room is a powerful feature that allows you to create and manage isolated environments within your Snowflake account. Clean rooms provide a sandboxed environment for development, testing, or training purposes without affecting your production data. In this blog post, we'll explore how to set up and leverage Snowflake Clean Room effectively, along with examples and code snippets.

What is Snowflake Clean Room?

Snowflake Clean Room provides an isolated environment within your Snowflake account, allowing you to perform development, testing, or training activities without impacting your production data or resources. Clean rooms are fully managed by Snowflake and can be easily provisioned and configured using SQL commands or the Snowflake UI.

Step 1: Provisioning a Clean Room

To provision a clean room in Snowflake, follow these steps:

1. Access Snowflake UI: Log in to your Snowflake account and navigate to the Snowflake web interface.

2. Navigate to Account: Go to the account where you want to create the clean room.

3. Access Clean Room: In the navigation pane, locate the "Clean Room" option and click on it.

4. Create Clean Room: Click on the "Create Clean Room" button and follow the prompts to configure the clean room settings, such as name, description, and resources allocation.

5. Review and Confirm: Review the configuration details and confirm to create the clean room.

Step 2: Configuring Clean Room Resources

Once the clean room is provisioned, you can configure resources such as warehouses, databases, and schemas within the clean room environment. Here's how:

1. Create Warehouse: Use SQL commands to create a dedicated warehouse for the clean room environment. For example

2. Create Database: Create a database within the clean room to organize your data objects. Example SQL command:

3. Create Schema: Optionally, create one or more schemas within the clean room database to further organize your objects. Example SQL command:

        

        CREATE SCHEMA clean_room_schema;

Step 3: Accessing and Using Clean Room

Once the clean room is configured, you can access and use it for development, testing, or training activities. Here are some common tasks you can perform within the clean room:

1. Data Loading: Load test data into tables within the clean room environment using Snowflake's data loading capabilities.

2. Querying and Analysis: Write SQL queries to analyze data and perform testing or validation tasks within the clean room.

3. Development and Testing: Develop and test new SQL scripts, stored procedures, or views within the clean room environment without affecting production resources.

4. Training and Education: Use the clean room environment for training purposes, allowing users to experiment with Snowflake features and functionalities in a safe and controlled environment.

Conclusion

Snowflake Clean Room provides a powerful and flexible solution for creating isolated environments within your Snowflake account. By following the steps outlined in this guide, you can easily provision and configure clean rooms to perform development, testing, or training activities without impacting your production data or resources. Leveraging Snowflake Clean Room ensures a secure and efficient workflow for your data projects. Happy sandboxing!

Example Code Snippets

-- Provision a clean room warehouse

CREATE WAREHOUSE my_clean_room_warehouse

WITH WAREHOUSE_SIZE = 'X-SMALL' AUTO_SUSPEND = 300 AUTO_RESUME = TRUE;

-- Create a clean room database

CREATE DATABASE clean_room_db;

-- Create a schema within the clean room database

CREATE SCHEMA clean_room_schema;

References

• Snowflake Documentation: Clean Room
• Snowflake Documentation: Managing Warehouses
• Snowflake Documentation: Working with Databases and Schemas
• Snowflake Documentation: SQL Commands and Reference