Create a Snowflake Data Stream

Create a data stream to start the flow of data from your Snowflake source to Data 360.

User Permissions Needed
To create a Snowflake data stream:	Data Cloud Architect

Before you begin:

Make sure that the Snowflake connection is set up.
Review the IP addresses to make sure the Snowflake connection has the necessary access.

In Data Cloud, on the Data Streams tab, click New.

You can also use App Launcher to find and select Data Streams.
Select Snowflake as the source of the data stream, and click Next.
Select from the available Snowflake connections.
Select the database that you want to use.
Select the objects that you want to include, and click Next.
Select the category to specify the type of data to ingest.
For Primary Key, select a unique field to identify a record.
(Optional) Select a record modified field.

If data is received out of order, the record modified field provides a reference point to determine whether to update the record. The record with the most up-to-date timestamp is loaded.
(Optional) For Organization Unit Identifier, select a business unit to use in a record’s data lineage.
Select the source fields, and click Next.

Fields with convertible data types are listed under Supported Fields. If you select fields with convertible data types, Data 360 changes the data types automatically. You can’t add formula fields or change the fields’ data types.
For Data Space, if the default data space isn’t selected, assign the data stream to the appropriate data space.
If you want to query the data in your Snowflake account with reduced latency, keep the Enable acceleration option checked, and choose the acceleration schedule.
Click Deploy.

You can now map your data lake object to the semantic data model to use the data in segments, calculated insights, and other use cases.

See Also