Dataddo
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Dataddo

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Article Summary

Dataddo is a cloud-based data integration platform that enables businesses to connect and automate data workflows across various sources. It allows users to extract, transform, and load (ETL) data from different platforms into a centralized location, facilitating efficient data management and analysis.

Refer to our website for the list of available metrics and attributes you can extract from Dataddo.

Authorize Connection to Dataddo

  1. On the Authorizers page, click on Authorize New Service and select Dataddo.
  2. Fill in the following fields:
    1. Email: Email address you use to log in to Dataddo.
    2. Password: Password to your Dataddo account.
  3. Rename your authorizer for easier identification and click on Save.

If you created your account using an SSO provider,we recommend creating an additional system user account with email and password as login credentials. For more information, see our guide on adding a team member.

How to Create a Dataddo Data Source

  1. On the Sources page, click on the Create Source button and select the connector from the list.
  2. Select your dataset and click on Next to continue.
    DATADDO TIP

    If you are not sure which dataset you need but know the metrics and attributes, use the Search by Name or Attribute function.

    Fixed-schema connector
  3. From the drop-down menu, select your authorizer.
    Didn't find your authorizer?

    Click on Add new Account at the bottom of the drop-down and follow the on-screen prompts. You can also go to the Authorizers tab and click on Add New Service.

  4. Name your data source and select your metrics and attributes. Keep in mind that metrics and attributes depend on the selected dataset.
  5. Configure your sync frequency or the exact synchronization time under Show advanced settings.
    DATADDO TIP

    If you need to load historical data, please refer to the Data Backfilling article.

  6. Preview your data by clicking on the Test Data button in the top right corner. You can adjust the date range for a more specific time frame.
  7. Click on Save and congratulations, your new data source is ready!


Troubleshooting

Data Preview Unavailable

No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:

  • Date range: Try a smaller date range. You can load the rest of your data afterward via manual data load.
  • Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.

Related Articles

Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.

Sending Data to Dashboarding Apps

Sending Data to Data Storages

Other Resources


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