Products
Products describe the specific goods or services you offer to your customers. For example, you might offer a Standard and Premium version of your goods or service; each version would be a separate Product. They can be used in conjunction with Prices to configure pricing in Checkout and Subscriptions.
The Products pipeline can be used to request and retrieve details of the Products from the Stripe platform. Read more about this here
Configuring the Credentials
Select the account credentials which has access to relevant Stripe data from the dropdown menu & Click Next
Setting Parameters
- Dimensions
-
Select the dimensions you would like to fetch from the Stripe platform. You can click on View Schema anytime to see the schema of the table being created. Each of the selected dimensions will create one or more columns in the database table in the destination warehouse.
| Parameter | Description | Values |
|---|---|---|
Delete or Append |
Optional This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Recommended to use "Delete" option unless there is a specific requirement. |
{Delete, Append} Default Value: Delete |
Number of Days |
Required Enter the number of days for which you wish you get the data in each run. |
'NUMBER' |
Datapipeline Scheduling
Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.
- Manual Run
-
If scheduling is not required, you can use the toggle to run the pipeline manually.
- Normal Scheduling
-
Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
- Advance Scheduling
-
Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.
Detailed explanation on scheduling of pipelines can be found here
Dataset & Name
- Dataset Name
-
Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
- Dataset Description
-
Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
- Notifications
-
Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".
Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here
Still have Questions?
We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.
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