Snowflake as a data source

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1. Add your Snowflake access

1. In the Sources tab, click on the “add source” button located on the top right of your screen. Then, select the Snowflake option from the list of connectors.
2. Click Next and you’ll be prompted to add your access. Use Snowflake’s documentation to locate each parameter, and provide the following:
   • Account (account): Your Snowflake account identifier (for example, xy12345.us-east-1 or acme-org as shown in the Snowflake URL, without .snowflakecomputing.com).
   • User (user): The Snowflake username.
   • Authentication: One of the following is required:
     • Password auth: Password (password).
     • Key pair auth: Private Key (private_key).
   • Warehouse (warehouse): The virtual warehouse to execute queries. Required.
   • Database (database): Optional initial database for the session.
   • Schema (schema): Optional initial schema for the session.
   • Role (role): Optional role for the session.
   • Chunk Size (chunk_size): Optional. Number of rows to fetch per batch. Default: 25000. Set to 0 to fetch all rows at once.
   • SSH Tunnel (ssh_tunnel, optional): JSON object for bastion access when needed:
     • enable (default false)
     • host, port (default 22)
     • username
     • Authentication to bastion: either password or private_key (with optional private_key_password)
3. Click Next.

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2. Select your Snowflake streams

1. The next step is letting us know which streams you want to bring. You can select entire groups of streams or only a subset of them.

   Tip: The stream can be found more easily by typing its name.

2. Click Next.

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3. Configure your Snowflake data streams

1. Customize how you want your data to appear in your catalog. Select the layer, a name for each table (which will contain the fetched data) and the type of sync.

• Layer: companies in the Growth plan can choose in which layer the tables with the extracted data will be placed.
• Table name: we suggest a name, but feel free to customize it. You have the option to add a prefix to all tables at once and make this process faster!
• Sync Type: depending on the data you are bringing to the lake, you can choose between INCREMENTAL and FULL_TABLE. Read more about Sync Types here.

2. Click Next.

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4. Configure your Snowflake data source

1. Describe your data source for easy identification within your organization. You can inform things like what data it brings, to which team it belongs, etc.
2. To define your Trigger, consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times).
3. Optionally, you can define some additional settings (if available).

• Configure Delta Log Retention and determine for how log we should store old states of this table as it gets updated.
• Determine when to execute an Additional Full Sync. This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while.

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Check your new source!

1. Click Next to finalize the setup. Once completed, you’ll receive confirmation that your new source is set up!
2. You can view your new source on the Sources page. Now, for you to be able to see it on your Catalog, you have to wait for the pipeline to run. You can now monitor it on the Sources page to see its execution and completion. If needed, manually trigger the pipeline by clicking on the refresh icon. Once executed, your new table will appear in the Catalog section.

If you encounter any issues, reach out to us via Slack, and we’ll gladly assist you!