Build Automated Workflows with Live Linear Data in Workato

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Linear data and build automated workflows in Workato.

Workato is a cloud-based automation platform that helps businesses integrate applications and automate workflows. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Linear data for visualizations, dashboards, and more. This article shows how to connect to Linear and build workflows with live Linear data in Workato.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Linear, allowing you to easily build visualizations from live Linear data in Workato. As you build automations, Workato generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to Linear, leveraging server-side processing to quickly return Linear data.

Configure Linear Connectivity for Workato

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

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

    You can authenticate to Linear with a personal API key or with OAuth 2.0. The API key is the simplest option for connecting with your own Linear account.

    Authenticating with an API Key

    Set the following connection properties:

    • AuthScheme: Set this to APIKey.
    • APIKey: A Linear personal API key.

    To create a personal API key, log in to Linear, open Settings > Security & access > Personal API keys, select New API key, and create it. Copy the key immediately, because Linear shows it only once.

    Authenticating with OAuth

    OAuth requires a custom OAuth application registered in Linear (Settings > API > OAuth applications), which provides the OAuthClientId and OAuthClientSecret. Two flows are supported:

    • Authorization code: Set AuthScheme to OAuth, InitiateOAuth to GETANDREFRESH, and provide OAuthClientId, OAuthClientSecret, and the CallbackURL defined in your application (e.g., http://localhost:33333). The driver opens Linear in your browser so you can grant access.
    • Client credentials: Set AuthScheme to OAuthClient and provide OAuthClientId and OAuthClientSecret. This authenticates the application itself, with no browser interaction, and suits machine-to-machine integrations.

    By default, the driver requests the read,write scopes. The driver refreshes the access token automatically when it expires.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Linear 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 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 Linear data from Workato.

Automate Linear Data Workflows in Workato

To establish a connection from Workato to the CData Connect AI Virtual SQL Server, follow these steps.

  1. Log into Workato.
  2. In the navigation bar, click Projects.
  3. In your new (or existing) project, click Create > Connection. Creating a new Connection.
  4. In the search bar, enter "SQL Server" and open the Connect to SQL Server screen.
  5. In Connect to SQL Server, enter the connection name and the following connecting settings:
    • Location: enter the name of the project.
    • Connection type: select Cloud.
    • Host: enter tds.cdata.com
    • Port: enter 14333
    • 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 previously generated page.
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Linear1).
    Configuring the connection to CData Connect AI.
  6. Click Connect to see the Connection established message.
  7. Next, set up your recipe. In your project, click Create > Recipe. Creating a new Recipe.
  8. In Set up your recipe, enter the name and location of your recipe.
  9. Select Run on a schedule.
  10. Select the action to occur on the schedule.
  11. Select a table from your Connect AI connection and any applicable filters. Selecting tables for the Recipe (Jira is shown).
  12. Click Save to save the recipe.
  13. Click Test Jobs to test you recipe.

Real-Time Access to Linear Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Linear data from Workato for workflows and automations. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Workato, refer to our Connect AI page.

Ready to get started?

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