Work with Live API Data in Power Query

Power Query is a data transformation and data preparation engine. When paired with CData Connect AI, you get instant, cloud-to-cloud access to API data from Power Query. This article shows how to connect to Connect AI from Power Query through Microsoft Excel and get live access to API data for transformation and preparation.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for your API, allowing you to easily integrate with live API data in Power Query — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Query and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to your API, leveraging server-side processing to quickly return API data.

Configure your API Connectivity for Power Query

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

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

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

3. Enter the necessary authentication properties to connect to your API.

   To connect to your API, configure the following properties on the Global Settings page:

   • In Authentication, select the Type and fill in the required properties
   • In Headers, add the required HTTP headers for your API
   • In Pagination, select the Type and fill in the required properties

   After the configuring the global settings, navigate to the Tables to add tables. For each table you wish to add:

   1. Click "+ Add"
   2. Set the Name for the table
   3. Set Request URL to the API endpoint you wish to work with 👁 Setting the Request URL (Harvest is shown)
      
   4. (Optional) In Parameters, add the required URL Parameters for your API endpoint
   5. (Optional) In Headers, add the required HTTP headers for the API endpoint
   6. In Table Data click " Configure"
   7. Review the response from the API and click "Next" 👁 Reviewing the API response (Harvest is shown)
      
   8. Select which element to use as the Repeated Elements and which elements to use as Columns and click "Next" 👁 Configuring the schema based on the API response(Harvest is shown)
      
   9. Preview the tabular model of the API response and click "Confirm" 👁 Previewing the tabular model of the API response (Harvest is shown)
      
4. Click Save & Test
5. Navigate to the Permissions tab in the Add your API 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 API data from Power Query.

Working with Live API Data in Power Query

With the connection to Connect AI configured, you are ready to work with live API data in Power Query.

1. In Microsoft Excel, open the Power Query Editor (from the Data ribbon, click Get Data -> Launch Power Query Editor) 👁 Opening the Power Query Editor
   
2. Click New Source -> SQL Server 👁 Creating a new SQL Server Source
   
3. In the SQL Server database modal:
   • Set Server to tds.cdata.com,14333
   • (Optional) Set Database to the name of the your API connection (e.g. API1 )
   👁 Configuring the Server
   
4. In the SQL Server credentials modal, select "Database" and
   • Set User to your Connect AI username (e.g. [email protected] )
   • Set Password to the PAT for the above user
   👁 Configuring the credentials
   
5. Click Connect
6. Select the table(s) you wish to work with in the Navigator and click "OK" 👁 Selecting the table(s) (Salesforce is shown)
   

At this point, you have live access to API data from Power Query for transformation and preparation.

SQL Access to API Data

Now you have a direct connection to live API data from Microsoft Power Query. You can create more connections and transform and preparte your data to better drive business — all without replicating API data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.