Create Harvest-Connected Visualizations in Klipfolio

Klipfolio is an online dashboard platform for building real-time business dashboards for your team or your clients. When paired with CData Connect Server, you get instant access to Harvest data for visualizations, reports, and more. This article shows how to create a virtual database for Harvest in Connect Server and build visualizations from Harvest data in Klipfolio.

CData Connect Server provides a pure SQL Server interface for Harvest, allowing you to easily build reports from live Harvest data in Klipfolio — without replicating the data to a natively supported database. As you build visualizations, Klipfolio generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Harvest, leveraging server-side processing to quickly return the requested Harvest data.

Create a Virtual SQL Server Database for Harvest Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect Server and click Connections.
2. Select "Harvest" from Available Data Sources.
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.
4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Harvest data from Klipfolio.

Connect to Harvest in Klipfolio

The steps below outline connecting to CData Connect Server from Klipfolio to create a new Harvest data source.

1. Open Klipfolio
2. Click in Data Feeds on the left panel to add a new data source.
3. Search for and select MS SQL as the Service.
4. Click "Create a custom MSSQL data source"
5. Configure the data source by setting the SQL Server connection properties:
   • Host: your instance (e.g., CONNECT_SERVER_URL)
   • Port: 1433
   • Database: your database (e.g., API1)
   • Driver: MS SQL
   • Username: your Connect Server username
   • Password: your Connect Server password
   • SQL Query: any query to retrieve data (e.g., SELECT * FROM Invoices)
   • Select the checkbox to "Include column headers"
6. Click "Get data" to preview the Harvest data before building a data model.

Build a Data Model

After retrieving the data, click "Continue." In the new window, configure your data model.

1. Confirm that the model includes all columns you wish to work with
2. Name your model
3. (optional) Set the Description
4. Set "Header in row" to 1
5. Click the toggle to "Exclude data before row" and set the value to 2
6. Click "Save data feed"

Create a Klip

With the data modeled, we are ready to create a Klip (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

1. Click "Add Metric"
2. Select a measure, placed on the y-axis, to track.
3. Select up to five dimensions/columns, for the x-axis, that you wish to visualize.
4. Click "Save metric"

SQL Access to Harvest Data from Applications

Now you have a Klip built from live Harvest data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating Harvest data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.