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:

  1. Generate Delighted keys
  2. Specify the slice config
  3. 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

  1. Open https://delighted.com/docs/api in browser
  2. Copy Your API key

2. Specify the slice config

To get a template for the Delighted slice configuration 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:

{
"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 warehouse
  • params-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