Build Automated Workflows with Live JSON Services 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 JSON services for visualizations, dashboards, and more. This article shows how to connect to JSON and build workflows with live JSON services in Workato.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for JSON, allowing you to easily build visualizations from live JSON services 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 JSON, leveraging server-side processing to quickly return JSON services.

Configure JSON Connectivity for Workato

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "JSON" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to JSON.

   See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

   After setting the and providing any authentication values, set to more closely match the data representation to the structure of your data.

   The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

   • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
   • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
   • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

   See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add JSON 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 JSON services from Workato.

Automate JSON Services 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, JSON1).
   👁 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 JSON Services from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live JSON services 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.