How to connect Amazon QuickSight to Harvest Data

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Create a connection to Harvest data in CData Connect AI and insert Harvest data into Amazon QuickSight SPICE to build interactive dashboards.

Amazon QuickSight allows users to build interactive dashboards in the cloud. When paired with CData Connect AI, you get cloud-to-cloud access to Harvest data for visualizations, dashboards, and more. This article shows how to connect to Harvest in Connect AI and build dashboards in Amazon QuickSight with access to Harvest data.

CData Connect AI provides a pure cloud-to-cloud interface for Harvest, allowing you to allowing build visualizations from Harvest data in Amazon QuickSight. By importing your Harvest data into the Amazon QuickSight "Super-fast, Parallel, In-memory Calculation Engine" (SPICE), you can leverage the powerful data processing features of the Amazon ecosystem to build responsive dashboards. And with the ability to schedule refreshes of the data stored in SPICE, you control how up-to-date your dashboards are.

Configure Harvest Connectivity for Amazon QuickSight

Connectivity to Harvest from Amazon QuickSight is made possible through CData Connect AI. To work with Harvest data from Amazon QuickSight, 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
  2. Select "Harvest" from the Add Connection panel
    3. Selecting a data source
  3. 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)
  4. Click Save & Test
  5. 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 Amazon QuickSight.

Import Harvest Data into SPICE and Create Interactive Dashboards

The steps below outline creating a new data set based on the connection to Harvest in Connect AI, importing the dataset into SPICE, and building a simple visualization from the data.

  1. Log into Amazon QuickSight and click "Manage data."
  2. Click "Now data set," select SQL Server as the data source, configure the connection to your Connect AI instance, and click "Create data source." Connecting to Connect AI as a QuickSight data set.
  3. Select a table to visualize (or subait a custom SQL query for your data). Selecting a Table to visualize.
  4. Click "Edit/Preview data" to customize the data set.
  5. Select "Import to SPICE for quicker analytics" and click "Visualize." Importing data to SPICE for quicker analytics.
  6. Select fields to visualize and a visual type. Visualizing data in QuickSight via Connect AI (Salesforce is shown).

Schedule Refreshes for SPICE Data Sets

QuickSight users can schedule refreshes for data sets that are imported into SPICE, ensuring that data being analyzed is only as old as the most recent refresh.

  1. Navigate to the QuickSight home page.
  2. Click "Manage data."
  3. Select the data set you wish to refresh.
  4. Click "Schedule refresh."
  5. Click Create, configure the refresh settings (time zone, repeat frequency, and starting datetime), and click Create. Scheduling a refreshing of the data imported into SPICE.

Live Access to Harvest Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Harvest data from your Amazon QuickSight dashboard. You can create new visualizations, build interactive dashboards, and more. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Amazon QuickSight, refer to our Connect AI page.

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