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Bamboo HR

Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.

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1. Credentials​

This section provides step-by-step instructions for creating a new Bamboo HR credential in Nexla.

  • After selecting the data source/destination type, click the Add Credential tile to open the Add New Credential overlay.

Configure the Credential​

  1. Enter a name for the credential in the Credential Name field and a short, meaningful description in the Credential Description field.

    Resource Descriptions

    Resource descriptions should provide information about the resource purpose, data freshness, etc. that can help the owner and other users efficiently understand and utilize the resource.

  2. Enter or select the following information in the displayed fields:

    • API Key – Your Bamboo HR API Key. Visit https://documentation.bamboohr.com/docs for instructions on how to create/obtain your API Key.
    • Random String Password – Random text string required for API authentication.
    • Company Sub Domain – The subdomain used to access your account. If you access BambooHR at https://mycompany.bamboohr.com, then the subdomain is mycompany.

Save the Credential​

  1. Once all of the relevant steps in the above sections have been completed, click the Save button at the bottom of the overlay to save the configured credential.

  2. The newly added credential will now appear in a tile on the Authenticate screen during data source/destination creation and can be selected for use with a new data source or destination.

2. Data Source​

To ingest data from a Bamboo HR location, follow the instructions in Section 2 of Common Setup for REST API-Based Systems.

3. Data Destination​

To send data to a Bamboo HR location, follow the instructions in Section 3 of Common Setup for Databases and Data Warehouses.