Build Apps with Live Azure Table data in Adalo using CData Connect Cloud

Adalo is a no-code platform used to build custom mobile and web applications without needing programming skills. It allows users to design interfaces, manage databases, and integrate functionality through simple drag-and-drop tools, making app development accessible and efficient. When combined with CData Connect Cloud, it provides access to Azure Table data to build custom applications and more.

This article explains how to use CData Connect Cloud to create a live connection to Azure Table and how to connect and access live Azure Table data from the Adalo platform.

Configure Azure Table connectivity for Adalo in CData Connect Cloud

To work with Azure Table data in Adalo, you need to connect to Azure Table from Connect Cloud, provide user access to the connection, and create an OData endpoint for Azure Table data.

Additionally, you need to generate a Personal Access Token (PAT) on the Settings page. Be sure to copy it down, as it serves as your password during authentication.

Follow the steps below to configure Azure Table connectivity for Adalo. For more information, see the Connections section of the Help documentation.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Azure Table" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Azure Table.

   Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Azure Table Connection page and update the User-based permissions.

Add a Azure Table OData endpoint to CData Connect Cloud

Once you're connected to Azure Table, create an OData endpoint for the desired table.

1. Go to the OData page from the left panel. Click Add and select Connections from the Add Entity Set window.
2. Select your Azure Table connection (for example, Azure Table1) and click Next.
3. Select the table you want to use and click Confirm to create a new OData endpoint.
4. Save the endpoint to connect Azure Table with Adalo in the next section.

With the connection and OData endpoint configured, you can connect to Azure Table data from Adalo.

NOTE: You can also do the same using the Virtual Datasets functionality in CData Connect Cloud. Refer to this YouTube link or our product documentation to learn more about the Virtual Datasets.

Build a custom app with Adalo

After configuring CData Connect Cloud, you can begin developing the Adalo app using Azure Table data.

1. Click on CREATE NEW APP.
2. Select Desktop Web App and click on Next.
3. You can choose any template, but for testing purposes, we've chosen a Blank template.
4. Finally, add an app name and choose a color scheme, and your app is ready to go!

Registering external collections

Adalo uses a data structure called Collection to manage app data and offers a feature called External Collections with APIs, which lets you seamlessly integrate Collection with external APIs. Use this feature to connect to Connect Cloud.

1. After creating an app, you first need to register a Collection, which is a definition for handling data within the Adalo app. There are two types of Collections: Database Collections, which are like Adalo's own internal database, and External Collections, which allow access to external APIs. In this case, we will access an external API, registering it as an External Collection.
2. On the External Collections registration screen, click on ADD COLLECTION to enter the collection name (any name of your choice), and provide the API base URL endpoint (OData endpoint registered on Connect Cloud). Make sure to add "/(table)" to the OData URL to access the specific endpoint. (Refer to the image given for reference)
3. In order to authenticate, you need a base64 authorization header comprising your username and PAT, joined by a colon. For example, [email protected]:MY_PAT. You can use a scripting tool, web tool, or other application to create this header.

   Using Postman to generate the Authorization header

   1. Open the Postman application. Enter the OData URL mentioned in the previous step for a GET request on Postman. Click on the Authorization tab and select Auth Type as "Basic Auth". Enter the Username and Password as follows and click on Send:
      • Username: Connect Cloud Username
      • Password: PAT generated on Connect Cloud
   2. Go to the Headers tab and copy/save the value of the Authorization key.
4. Back in Adalo, click on ADD ITEM and select Header.
5. Enter the details in the Header section as follows:
   • Name: "Authorization"
   • Value: Authorization key value copied in the previous step
6. Select Done and click on Next.
7. Select Get All and enter "value" in the Results Key section. Click on Done and Next.
8. Now, to test the API setup, click on RUN TEST. If you finally see the message and response shown below, the creation of External Collections is complete.

Creating a list screen

After configuring CData Connect Cloud, you can now begin developing the app on Adalo using Azure Table data.

1. First, click the + button in the upper right corner of the Adalo screen to display the list screen, then drag and drop "Simple List" onto the screen.
2. Once the layout is complete as shown below, link the External Collections definition you created earlier to What is this a list of?
3. Click on "Add Magic Text" button (as shown) to add the "Title" and "Subtitle" to the data items you want to obtain.
4. Now, click on View App in the top right corner of the screen and select Staging Preview.
5. You can now view the Azure Table data in the app created on Adalo.

Live connections to Azure Table data from cloud applications

Adalo now allows you to connect to live Azure Table data directly, allowing you to create more connections and apps without duplicating Azure Table data.

To get real-time data access to over 100 SaaS, big data, and NoSQL sources directly from your cloud applications, visit CData Connect Cloud.