Build Amazon Athena-Connected Apps in Bubble

Bubble is a no-code platform that simplifies the process of developing and launching apps and businesses. When coupled with CData Connect AI, you gain effortless no-code access to Amazon Athena data for streamlined app development. This article guides you through the integration process from Bubble to Amazon Athena using CData Connect AI.

CData Connect AI provides a pure cloud-to-cloud OData interface for Amazon Athena data that allows you to integrate from Bubble to Amazon Athena data in real time.

Getting Started

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Connect to Amazon Athena from Bubble

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

Connect to Amazon Athena 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 Athena" from the Add Connection panel
👁 Selecting a data source

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

   Authenticating to Amazon Athena

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

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

   Obtaining the Access Key

   To obtain the credentials for an IAM user, follow the steps below:

   1. Sign into the IAM console.
   2. In the navigation pane, select Users.
   3. To create or manage the access keys for a user, select the user and then select the Security Credentials tab.

   To obtain the credentials for your AWS root account, follow the steps below:

   1. Sign into the AWS Management console with the credentials for your root account.
   2. Select your account name or number and select My Security Credentials in the menu that is displayed.
   3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.

   Authenticating from an EC2 Instance

   If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set to true and leave and empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.

   Authenticating as an AWS Role

   In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the . This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the and of an IAM user to assume the role for. Roles may not be used when specifying the and of an AWS root user.

   Authenticating with MFA

   For users and roles that require Multi-factor Authentication, specify the and connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the (default 3600 seconds).

   Connecting to Amazon Athena

   In addition to the and properties, specify , and . Set to the region where your Amazon Athena data is hosted. Set to a folder in S3 where you would like to store the results of queries.

   If is not set in the connection, the data provider connects to the default database set in Amazon Athena.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Amazon Athena 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 Athena Endpoints for Bubble

After connecting to Amazon Athena, 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 Athena connection (e.g. AmazonAthena1) 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 Athena data from Bubble.

Build a Amazon Athena-Connected App

With OData endpoints added to Connect AI, you can build an app in Bubble with live access to Amazon Athena data.

Configure the Bubble API Connector

To start, Configure the API Connector for accessing CData Connect AI from Bubble.

1. In your app, click the Plugins tab and click Add plugins
2. Search for "API Connector" and click Install 👁 Installing the API Connector plugin
   
3. After installation, click the "Add another API" button and configure the API:
   • Name the API
   • Set Authentication to "HTTP Basic Auth"
   • Set Username to a Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the user
   • Expand the API Call, select the "GET" command and set the URL to a Workspace endpoint you previously configured (e.g. https://cloud.cdata.com/api/odata/{workspace_name}/Customers)
   👁 Configuring the API Call
   
4. Click the "Initialize call" button to adjust data types in the response (as needed) 👁 Initializing the call
   
5. After making any necessary changes, click "Save" 👁 Saving the data types
   

Configure the App UI

With the API Connector configure, you are ready to retrieve Amazon Athena data in your Bubble app. In this article, we request the data with a UI component that can display an Excel-like table.

1. On the Plugin tab, install the "Excel-like HandsonTable" 👁 Adding the Excel-like HandsonTable plugin
   
2. On the Design tab, add an "Excel Table" to the workspace 👁 Adding an Excel Table to the app
   
3. In the Excel Table, in Data source, select "Get data from an external API"
4. Set Type of content to "API Call value"
5. Set Data source to "CData Connect AI - API Call's value" (or equivalent) 👁 Binding the Excel Table to the API Call
   
6. Click "Preview" to ensure the data was retrieved from Amazon Athena. 👁 Previewing the app
   

At this point, you can develop applications with live access to Amazon Athena data without needing to know the complexities of the back-end API.

Live Access to Amazon Athena Data from Cloud Applications

Now you have a direct connection to live Amazon Athena data from Bubble. You can create more Amazon Athena-connected apps — all without writing any code or replicating Amazon Athena data.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect AI.