Pre-requisites

You must have an active Snowflake connection already configured in Netcore CE. See Snowflake Integration with Netcore.
You must have read access to the Snowflake warehouse, database, schema, and table you want to import from.
Decide in advance which Netcore CE list, if any, you want imported contacts added to, and which email address should receive import alerts.

Start a Snowflake Data Import

Follow the steps below to start an import.

Log in to the Netcore CE dashboard and navigate to Settings > Data transfer.
Click the Import tab.
Click CREATE NEW. A panel titled "How would you like to start?" opens with two options: Export data and Import data.
Select Import data.
Under "What would you like to import?", select Contacts.
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Note
Contacts is the option confirmed in the recording. TBD: the dropdown may support other data types; confirm in your account.
Click NEXT.
A panel titled "Select a source to import your data" opens, showing two sources: Snowflake and Databricks.
Click Snowflake.

This opens the Snowflake contact import wizard. It has three steps: Setup, Data mapping, and Schedule. A "Learn more about snowflake data imports" link is available at the top of the wizard. You can click FINISH LATER at any point to save your progress and return to it later.

Step 1: Setup

The Import details section asks for basic details about your import.

Field Name	Description
Import title	A unique name for this import. Up to 80 characters.
Connection	Select an existing Snowflake connection, created earlier under Integrations.
Warehouse	Select the Snowflake virtual warehouse to use. This field appears after you select a connection.
Database	Select the database to import from. Appears after you select a warehouse.
Schema	Select the schema within the selected database. Appears after you select a database.
Table	Select the table or view to import contacts from. Appears after you select a schema.
Type of users	Choose Identified or Anonymous for the imported contacts.
Import contact to list(s)	Optional. By default, contacts are added to the contact master. Optionally add them to one or more lists as well.
Alert email	Select the email address or addresses to receive alerts about this import.

Previewing the Table

Once you select a table, a PREVIEW button becomes available next to the Table field. Click it to open "Table preview: [table name]," which shows a small number of sample records with their column names and values.

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Note
"Sample records are shown to help you verify the data. Please perform a quick sanity check before proceeding with flow activation."

Use the preview to confirm you have picked the right table before you continue.

Click NEXT to move to Data mapping. Your setup details are saved automatically at this point.

Step 2: Data Mapping

This step is titled "Data mapping: Map the columns of your table to the attributes present in Netcore CE."

Identity Mapping

Identity mapping tells Netcore CE which Snowflake column to use to match and update contact records.

Netcore attribute	Requirement
EMAIL (Primary key)	Required. Map to the Snowflake column that uniquely identifies each contact.
Updated on	Required. Map to a Snowflake column that stores when a record was last updated.

Click + ADD to add further identity mapping rows if you need them.

When you map Updated on to a column, a date time format dropdown appears next to it. Available formats include:

YYYY-MM-DD
YYYY/MM/DD
DD/MM/YYYY
DD-MM-YYYY
DD-MM-YYYY hh:mm:ss
YYYY-MM-dd HH:mm:ss.SSS XX

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Validation
If the column mapped to Updated on is not a timestamp type, or if you have not selected a date time format for it, the field is outlined in red. Clicking NEXT shows the error "Please select a date-time format for 'Updated on'." Correct this before proceeding.

Attributes Mapping

Below Identity mapping, Netcore CE shows a note: "We have detected [N] columns in your table." This count reflects only the columns not already used in Identity mapping.

For each detected column, you see:

Column	Description
Column name (Snowflake)	The source column name, for example `CITY` or `SIGNUP_TIMESTAMP`.
Data type	The Snowflake data type of the column, for example `VARCHAR`, `TIMESTAMPNTZ`, or `TIMESTAMPTZ`.
Netcore attributes	A searchable dropdown of existing Netcore CE attributes, filtered to compatible data types.
Sample data	An example value from the previewed table for that column.
Transformation	For timestamp type columns, a "Select date time format" dropdown, using the same format list shown above.
Skip column	A checkbox to exclude the column from this import.

A Skip all checkbox above the table lets you check or uncheck every row's Skip column checkbox in one action.

Creating a New Netcore Attribute

If no existing Netcore CE attribute matches a column, open its Netcore attributes dropdown and select + Create attribute to create one without leaving this screen.

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Validation
Every detected column must be either mapped to a Netcore attribute or marked as Skip column. Clicking NEXT with an unresolved column shows the error "Please map or skip the columns you don't wish to import." Resolve every row before proceeding.

Click NEXT to move to Schedule. Your attribute mapping is saved automatically at this point.

Step 3: Schedule

This step is titled "Import schedule: Set the schedule for importing your data." Your account timezone and current date and time are shown at the top of the page, for example, "Timezone: Asia/Calcutta."

Select one of two options:

Option	Behavior
One-time	"The system will fetch and transfer the complete dataset available in the selected table or view. No incremental or ongoing transfer will be performed."
Recurring	"The first run transfers the complete dataset from the selected table/view. All future runs will transfer incremental data based on the configured schedule."

One-time Fields

Field	Description
Scheduled at	The date and time to run the single import.

Recurring Fields

Field	Description
Start date time	When the recurring schedule begins.
End date time	When the recurring schedule ends.
Frequency	How often the import repeats. TBD: the available frequency options were not shown in the recording. Confirm the choices in your account.

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Note
The recording ends at this step before a final activation control is used. TBD: confirm what completes and activates the import after the Schedule step (for example, a final Activate or Finish button) in your account.

Import Status and Monitoring

The Export tab of Data transfer lists each transfer with columns such as Data transfer info, Last transfer date, Next transfer date, Destination, Module, Frequency, Creation date, Completion date, Total transfers, and Event type, along with a status badge (for example Running, Draft, Paused, or Stopped).

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Note
This column layout was confirmed for the Export tab. TBD: confirm whether the Import tab of Data transfer uses the same columns and status values for Snowflake imports, since this was not directly shown in the recording.

Error Handling

Two validation errors are confirmed from the recording:

Error Message	Cause
"Please select a date-time format for 'Updated on'."	The Updated on identity mapping is set to a column without a valid date time format selected.
"Please map or skip the columns you don't wish to import."	One or more detected columns in Attributes mapping are neither mapped to a Netcore attribute nor marked Skip column.

Important Notes and Limitations

Only the Contacts import type was demonstrated. Other data types the "What would you like to import?" dropdown may support are unconfirmed.
Snowflake and Databricks are the only two sources offered for this import flow. Databricks itself is listed as Coming soon under Integrations, so confirm its current availability before selecting it here.
Frequency options for a Recurring schedule were not shown in the recording.
The final step that completes and activates an import after Schedule is not confirmed. Confirm this in your account before relying on this guide for a full end to end run.