Asana Advanced Settings

For users who have some experience working with their data in Panoply, there are a number of items that can be customized for this data source.

1. Destination Schema: This is the name of the target schema to save the data. The default schema for data warehouses built on Google BigQuery is panoply. The default schema for data warehouses built on Amazon Redshift is public. This cannot be changed once a source has been collected.
2. Destination: This is the prefix that Panoply will use in the name of the tables included in the collection.
   • The default prefix for Asana is asana.
   • The naming convention is asana_<__tableName>
   • If the postfix <__tableName> is not included by the user, it will be added automatically by Panoply.
3. Primary Key: The primary key is an id field that defines the column that contains the table's Primary Key. If this option is left blank and the sheet does not contain an ID column, Panoply will insert an id, formatted as a GUID, such as 2cd570d1-a11d-4593-9d29-9e2488f0ccc2. The default primary key for Asana is <__tableName>_ but users can designate a different primary key if necessary.
4. Exclude: The Exclude option allows you to exclude certain data, such as names, addresses, or other personally identifiable information. Enter the column names of the data to exclude.
5. Parse String: If the data to be collected contains JSON, include the JSON text attributes to be parsed.
6. Truncate: Truncate deletes all the current data stored in the destination tables, but not the tables themselves. Afterwards Panoply will recollect all the available data for this data source.
7. Click Save Changes and then click Collect
   • The data source appears grayed out while the collection runs.
   • You may add additional data sources while this collection runs.
   • You can monitor this collection from the Jobs page or the Data Sources page. 
   • After a successful collection, navigate to the Tables page to review the data results.