Work with Live Harvest Data in Power Query

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Harvest data and work with live Harvest data in Microsoft Power Query.

Power Query is a data transformation and data preparation engine. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Harvest data from Power Query. This article shows how to connect to Connect AI from Power Query through Microsoft Excel and get live access to Harvest data for transformation and preparation.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for Harvest, allowing you to easily integrate with live Harvest data in Power Query — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Query and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Harvest, leveraging server-side processing to quickly return Harvest data.

Configure Harvest Connectivity for Power Query

Connectivity to Harvest from Power Query is made possible through CData Connect AI. To work with Harvest data from Power Query, we start by creating and configuring a Harvest connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "Harvest" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to Harvest.

    Start by setting the Profile connection property to the location of the Harvest Profile on disk (e.g. C:\profiles\Harvest.apip). Next, set the ProfileSettings connection property to the connection string for Harvest (see below).

    Harvest API Profile Settings

    To authenticate to Harvest, you can use either Token authentication or the OAuth standard. Use Basic authentication to connect to your own data. Use OAuth to allow other users to connect to their data.

    Using Token Authentication

    To use Token Authentication, set the APIKey to your Harvest Personal Access Token in the ProfileSettings connection property. In addition to APIKey, set your AccountId in ProfileSettings to connect.

    Using OAuth Authentication

    First, register an OAuth2 application with Harvest. The application can be created from the "Developers" section of Harvest ID.

    After setting the following connection properties, you are ready to connect:

    • ProfileSettings: Set your AccountId in ProfileSettings.
    • AuthScheme: Set this to OAuth.
    • OAuthClientId: Set this to the client ID that you specified in your app settings.
    • OAuthClientSecret: Set this to the client secret that you specified in your app settings.
    • CallbackURL: Set this to the Redirect URI that you specified in your app settings.
    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage how the driver obtains and refreshes the OAuthAccessToken.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Harvest Connection page and update the User-based permissions. Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Personal Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Harvest data from Power Query.

Working with Live Harvest Data in Power Query

With the connection to Connect AI configured, you are ready to work with live Harvest data in Power Query.

  1. In Microsoft Excel, open the Power Query Editor (from the Data ribbon, click Get Data -> Launch Power Query Editor) Opening the Power Query Editor
  2. Click New Source -> SQL Server Creating a new SQL Server Source
  3. In the SQL Server database modal:
    • Set Server to tds.cdata.com,14333
    • (Optional) Set Database to the name of the Harvest connection (e.g. API1 )
    Configuring the Server
  4. In the SQL Server credentials modal, select "Database" and
    • Set User to your Connect AI username (e.g. [email protected] )
    • Set Password to the PAT for the above user
    Configuring the credentials
  5. Click Connect
  6. Select the table(s) you wish to work with in the Navigator and click "OK" Selecting the table(s) (Salesforce is shown)

At this point, you have live access to Harvest data from Power Query for transformation and preparation.

Working with data in Power Query (Salesforce is shown)

SQL Access to Harvest Data

Now you have a direct connection to live Harvest data from Microsoft Power Query. You can create more connections and transform and preparte your data to better drive business — all without replicating Harvest data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.

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