Create Amazon S3-Connected Nintex Workflows

Nintex Workflow Cloud is a cloud-based platform where you can design workflows to automate simple or complex processes using drag-and-drop interactions — without writing any code. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Amazon S3 data for business applications. This article shows how to create a virtual database for Amazon S3 in Connect AI and build a simple workflow from Amazon S3 data in Nintex.

CData Connect AI provides a pure, cloud-to-cloud interface for Amazon S3, allowing you to build workflows from live Amazon S3 data in Nintex Workflow Cloud — without replicating the data to a natively supported database. Nintex allows you to access data directly using SQL queries. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Amazon S3, leveraging server-side processing to quickly return the requested Amazon S3 data.

Configure Amazon S3 Connectivity for Nintex

Connectivity to Amazon S3 from Nintex is made possible through CData Connect AI. To work with Amazon S3 data from Nintex, we start by creating and configuring a Amazon S3 connection.

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

2. Select "Amazon S3" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Amazon S3.

   To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

   Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

   For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Amazon S3 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 Amazon S3 data from Nintex Workflow Cloud.

Connect to Amazon S3 from Nintex

The steps below outline creating a new connection to Amazon S3 data from Nintex (via Connect AI).

1. Log into Nintex Workflow Cloud
2. In the Connections tab, click "Add new"
3. Select "Microsoft SQL Server" as the connector and click "Connect" 👁 Adding a new SQL Server Connection
   
4. In the SQL Server connection wizard, set the following properties:
   • Connection Name: Connect AI
   • Username: a Connect AI username (e.g. [email protected])
   • Password: the Connect AI user's PAT
   • Database Host: tds.cdata.com:14333
   • Database Name: the Amazon S3 connection (a.g., AmazonS31)
   👁 Configuring the Connection to Connect AI
   
5. Click "Connect"
6. Configure the connection permissions and click "Save permissions" 👁 Configuring permissions and saving the Connection
   

Create a Simple Amazon S3 Workflow

With the connection to CData Connect AI configured, we are ready to build a simple workflow to access Amazon S3 data. Start by clicking the "Create workflow" button.

Configure the Start Event Action

1. Click the start event task and select the "Form" event
2. Click "Design form"
3. Drag a "Text - Long" element onto the Form and click the element to configure it
   • Set "Title" to "Enter SQL query"
   • Set "Required" to true
4. Drag a "Text - Short" element onto the Form and click the element to configure it
   • Set "Title" to "Enter desired result column"
   • Set "Required" to true

👁 Designing the Start event Form

Configure an "Execute a Query" Action

1. Add an "Execute a query" action after the "Start event: Form" action and click to configure the action
2. Set "SQL Script" to the "Enter SQL Query" variable from the "Start event" action
3. Set "Column to retrieve" to the "Enter desired result column" variable from the "Start event" action
4. Set "Retrieved column" to a new variable (a.g., "values")

👁 Configuring the SQL Server query action

Configure a "Send an Email" Action

1. Add a "Send an email" action after the "Execute a query" action and click to configure the action
2. Set the "Recipient email address"
3. Set the "Subject"
4. Set the "Message body" to the variable created for the retrieved column

👁 Configuring the email action

Once you configure the actions, click "Save," name the Workflow, and click "Save" again. You now have a simple workflow that will query Amazon S3 using SQL and sand an email with the results.

To learn more about live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, check out the CData Connect AI page. Sign up for a free trial and reach out to our Support Team if you have any questions.