Delighted Collect Slice
Overview
Delighted is optimized to help you gather feedback on an ongoing basis on the platform of your choice
Steps to add this slice to your installation
The steps to launch your slice are:
- Generate Delighted keys
- Specify the slice config
- Add the Delighted slice
1. Generate Delighted keys
Setup requirements
Before getting started please make sure to have the following information:
- Access to an active Delighted account
Setup instructions
- Open https://delighted.com/docs/api in browser
- Copy Your API key
2. Specify the slice config
To get a the starting template save the output of the describe --input-parameters
command as follows:
datacoral collect describe --slice-type delighted \
--input-parameters > delighted_parameters_file.json
Necessary input parameters:
token
- Your API key.
Optional input parameters:
for datasource:
schedule
- in cron format
Example templates:
{
"token": "2134343545",
"schedule": "0 0 * * *"
}
Modify the delighted_parameters_file
file to add the token generated from Delighted
3. Add the Slice
datacoral collect add --slice-type delighted --slice-name <slice-name> --parameters-file <params-file>
slice-name
Name of your slice. A schema with your slice-name is automatically created in your warehouseparams-file
File path to your input parameters file. Ex. delighted_parameters_file.json
Supported load units
active_people
survey_responses
Slice output
Output of this slice is stored in S3 and Redshift.
AWS S3
Data stored in AWS S3 is partitioned by date and time in the following bucket
s3//:customer_installation.datacoral/<sliceName>
AWS Redshift: Schema - schema name will be same as a slice-name. Tables produced by the slice are:
- schema.active_people
- schema.survey_responses
Questions? Interested?
If you have questions or feedback, feel free to reach out at hello@datacoral.co or Request a demo