Search External Amazon S3 Objects in Salesforce Connect

CData Connect AI, enables you to access Amazon S3 data from cloud-based applications like the Salesforce console and mobile applications like the Salesforce Mobile App. In this article, you will use CData Connect AI and Salesforce Connect to access external Amazon S3 objects alongside standard Salesforce objects.

Connect to Amazon S3 from Salesforce

To work with live Amazon S3 data in Salesforce Connect, we need to connect to Amazon S3 from Connect AI, provide user access to the connection, and create a Workspace for the Amazon S3 data.

Connect to Amazon S3 from Connect AI

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

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.

Configure Amazon S3 Endpoints for Salesforce Connect

After connecting to Amazon S3, create a workspace for your desired table(s).

1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace). 👁 The Workspaces page.
   👁 Adding a new Workspace.
   
2. Click Add to add new assets to the Workspace.
3. Select the Amazon S3 connection (e.g. AmazonS31) and click Next. 👁 Selecting an Asset (Salesforce is shown).
   
4. Select the table(s) you wish to work with and click Confirm. 👁 Selecting Tables (Salesforce is shown).
   
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to Amazon S3 data from Salesforce Connect.

Connect to Amazon S3 Data as an External Data Sources

Follow the steps below to connect to the feed produced by Connect AI.

1. Log into Salesforce and click Setup -> Integrations -> External Data Sources.
2. Click Now External Data Sources.
3. Enter values for the following properties:
   • External Data Sources: Enter a label to be used in list views and reports.
   • Name: Enter a unique identifier.
   • Type: Select the option "Salesforce Connect: OData 4.0".
   • URL: Enter the URL to the OData endpoint of Connect AI: https://cloud.cdata.com/api/odata/{workspace_name}
4. Select JSON in the Format menu.
5. In the Authentication section, set the following properties:
   • Identity Type: If all members of your organization will use the same credentials to access Connect AI, select "Named Principal". If the members of your organization will connect with their own credentials, select "Per User".
   • Authentication Protocol: Select Password Authentication to use basic authentication.
   • Certificate: Enter or browse to the certificate to be used to encrypt and authenticate communications from Salesforce to your server.
   • Username: Enter a CData Connect AI username (e.g. [email protected]).
   • Password: Enter the user's PAT.

Synchronize Amazon S3 Objects

After you have created the external data source, follow the steps below to create Amazon S3 external objects that reflect any changes in the data source. You will synchronize the definitions for the Amazon S3 external objects with the definitions for Amazon S3 tables.

1. Click the link for the external data source you created.
2. Click Validate and Scan.
3. Select the Amazon S3 tables you want to work with as external objects.

Access Amazon S3 Data as Salesforce Objects

After adding Amazon S3 data as an external data source and syncing Amazon S3 tables as external objects, you can use the external Amazon S3 objects just as you would standard Salesforce objects.

• Create a new tab with a filter list view:

  👁 Viewing external objects from Salesforce (NetSuite is shown)
  

• Create reports of external objects:

  👁 Reporting on external objects from Salesforce (NetSuite is shown)
  

Simplified Access to Amazon S3 Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Amazon S3 data from Salesforce. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Salesforce, refer to our Connect AI page.