Create Dashboards and Visualize Live Harvest Data in Geckoboard

Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI to connect to live Harvest data and create dashboards for real-time monitoring and visualization in Geckoboard.

Geckoboard is a business intelligence tool that simplifies the visualization of key performance indicators (KPIs) by creating live dashboards. It allows teams to consolidate data from various sources - such as Salesforce, Snowflake, Google Analytics, and spreadsheets - and display it in a visually engaging and easy-to-understand format. Designed for simplicity and clarity, Geckoboard helps businesses monitor performance, track goals, and make data-driven decisions.

When used with CData Connect AI, you gain instant, cloud-to-cloud access to Harvest data from Geckoboard for dashboards, monitoring, visualizations, and more. This article explains how to connect to Harvest and create visualizations using Harvest data in Geckoboard.

CData Connect AI offers a seamless SQL Server, cloud-to-cloud interface for Harvest, enabling you to effortlessly create dashboards and visualizations using live Harvest data in Geckoboard. While building visualizations, Geckoboard requires SQL queries to retrieve the necessary data. With built-in optimized data processing, CData Connect AI pushes all supported SQL operations (such as filters and JOINs) directly to Harvest, utilizing server-side processing for fast and efficient data retrieval of Harvest data.

Configure Harvest connectivity for Geckoboard

Connectivity to Harvest from Geckoboard is made possible through CData Connect AI. To work with Harvest data from Geckoboard, 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 Geckoboard.

Connect live Harvest data in Geckoboard

Follow these steps to establish a connection from Geckoboard to the CData Connect AI Virtual SQL Server API.

  1. Log into Geckoboard
  2. Add a custom dashboard name and click Add widget Click on Add widget.
  3. Search for "Databases" in the Connect your data search bar Search and click on Databases.
  4. Select SQL Server as the Database type Select SQL Server.
  5. Fill in the connection details:
    • Connection name: enter a name for the connection to CData Connect AI
    • Host: enter the Virtual SQL Server endpoint: tds.cdata.com
    • Port: : enter 14333
    • Database name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, API1)
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected]
    • Password: enter the PAT you generated on the Settings page
    Configuring the connection to the Virtual SQL Server API
  6. Click Connect

After successfully configuring your connection, you can query and visualize your Harvest data.

Visualize live Harvest data in Geckoboard

To visualize live Harvest data in Geckoboard, follow these steps:

  1. Write an SQL query to select the specific Harvest data needed for visualization in Paste your SQL query compiler screen Write an SQL query to select specific Harvest data.
  2. Depending on your use case, you can also generate the desired SQL query using the Playground or Query Builder features of CData Connect AI

    Generate SQL, and query your connected data sources, AI & MCP usage patterns, using natural language in Playground
  3. Choose the visualization type (Line Chart, Bar Chart, or Column Chart) that best suits your business requirements Choose the visualization type.
  4. The selected chart will be displayed on Geckoboard Chart is displayed.
  5. Click the menu (three dots in the top-right corner of the graph) and select Edit to modify the SQL query or set a refresh interval for the chart Edit the widget.
  6. Live access to Harvest data from cloud applications

    At this stage, you have established a direct, cloud-to-cloud connection to live Harvest data in Geckoboard. This enables you to create dashboards to monitor and visualize your data seamlessly.

    For more details on accessing live data from hundreds of SaaS, Big Data, and NoSQL sources through cloud applications like Geckoboard, visit our Connect AI page.

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