Integrate with live Azure Analysis Services Data in Jitterbit

Jitterbit is an enterprise iPaaS (integration platform as a service) that lets you streamline your data workflows. When paired with CData Connect AI, Jitterbit gets access to live Azure Analysis Services data. This article demonstrates how to connect to Azure Analysis Services using Connect AI and integrate with live Azure Analysis Services data in Jitterbit.

CData Connect AI provides a pure OData interface for Azure Analysis Services, allowing you to query data from Azure Analysis Services without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure Analysis Services, leveraging server-side processing to return the requested Azure Analysis Services data quickly.

Configure Azure Analysis Services Connectivity for Jitterbit

To work with Azure Analysis Services data from Jitterbit, we need to connect to Azure Analysis Services from Connect AI, provide user access to the connection, and create a Workspace for the Azure Analysis Services data.

Connect to Azure Analysis Services 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 "Azure Analysis Services" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Azure Analysis Services.

   To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

   Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Azure Analysis Services 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 Azure Analysis Services Endpoints for Jitterbit

After connecting to Azure Analysis Services, 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 Azure Analysis Services connection (e.g. AAS1) 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 Azure Analysis Services data from Jitterbit.

Connect to Azure Analysis Services from Jitterbit using Connect AI

To establish a connection from Jitterbit to CData Connect AI using the OData protocol, follow these steps.

1. Log into Jitterbit.
2. Create a project in Cloud Studio and provide a workspace environment for it. 👁 Creating a new project in Jitterbit.
   
3. click Sources and enter OData in the search bar.
4. Select the OData connector.
5. Enter the OData connection properties.
• Connection Name: enter a connection name.
• OData Metadata URL: enter https://cloud.cdata.com/api/odata/{workspace_name}.
• Authentication: select Basic Auth.
• User Name: 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 connectivity to the Connect AI OData endpoint.

6. Click Test to test the connection, and then click Save Changes.
7. Choose the operation you want to perform and drag it to the workflow in your project. 👁 Selecting the operation for the workflow.
   
8. Double-click the query operation to see all the tables and derived views available in your OData endpoint. 👁 Viewing the available endpoints.
   
9. Select a table and configure the query.

You can now transform and integrate live Azure Analysis Services data in Jitterbit.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Jitterbit, try CData Connect AI today!