Seamlessly Bring Amazon Athena Data into Retool Using CData Connect Cloud



Integrate Amazon Athena data into Retool with CData Connect Cloud to build smarter apps and streamline workflows with real-time data access.

Retool enables the rapid creation of custom internal tools using a low-code or no-code approach. By integrating Amazon Athena into Retool with CData Connect Cloud, you can access live data from Amazon Athena in real time, enabling you to build more efficient apps and streamline workflows.

This guide walks you through the simple steps to connect Amazon Athena to Retool via CData Connect Cloud using OpenAPI or the Virtual SQL Server API. You can securely connect to your Amazon Athena data, ensuring seamless integration and real-time updates, empowering you to create smarter apps and enhance operational efficiency. Let's get started!

About Amazon Athena Data Integration

CData provides the easiest way to access and integrate live data from Amazon Athena. Customers use CData connectivity to:

  • Authenticate securely using a variety of methods, including IAM credentials, access keys, and Instance Profiles, catering to diverse security needs and simplifying the authentication process.
  • Streamline their setup and quickly resolve issue with detailed error messaging.
  • Enhance performance and minimize strain on client resources with server-side query execution.

Users frequently integrate Athena with analytics tools like Tableau, Power BI, and Excel for in-depth analytics from their preferred tools.

To learn more about unique Amazon Athena use cases with CData, check out our blog post: https://www.cdata.com/blog/amazon-athena-use-cases.


Getting Started


Overview

Here is an overview of the steps:

  1. Configure: (Optional) Set up your Amazon Athena data source in CData Connect Cloud, add a Workspace to Virtual Datasets, add assets to your Workspace, and generate a Personal Access Token (PAT).
  2. Connect: Link Retool to CData Connect Cloud using OpenAPI or the Virtual SQL Server API.
  3. Explore: Use your connected data to build smarter apps and explore advanced integrations.

Prerequisites

Ensure you have the following before starting:

  1. An active Amazon Athena account and credentials.
  2. A CData Connect Cloud account. Log in or sign up for a free trial here.
  3. A Retool account. Sign up here.


STEP 1: Configure the Amazon Athena Connectivity for Retool (in CData Connect Cloud)

Add a Amazon Athena connection in CData Connect Cloud to integrate it with Retool.

Note: This step is optional and can be skipped if you have already connected to the Amazon Athena data source.

  • Log into Connect Cloud, click Connections and click Add Connection
  • Select "Amazon Athena" from the Add Connection panel
  • 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 AccessKey to the access key Id. Set SecretKey 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 UseEC2Roles to true and leave AccessKey and SecretKey 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 RoleARN. 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 AccessKey and SecretKey of an IAM user to assume the role for. Roles may not be used when specifying the AccessKey and SecretKey of an AWS root user.

    Authenticating with MFA

    For users and roles that require Multi-factor Authentication, specify the MFASerialNumber and MFAToken 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 TemporaryTokenDuration (default 3600 seconds).

    Connecting to Amazon Athena

    In addition to the AccessKey and SecretKey properties, specify Database, S3StagingDirectory and Region. Set Region to the region where your Amazon Athena data is hosted. Set S3StagingDirectory to a folder in S3 where you would like to store the results of queries.

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

  • Click Create & Test
  • Navigate to the Permissions tab in the Add Amazon Athena Connection page and update the User-based permissions.

    If the connection fails, refer to error messages for guidance in the documentation. Some data sources require direct sign-in, which can be completed via the Sign In button if prompted.

    Configure the Virtual Datasets and Workspace, and Generate a Personal Access Token (PAT).

    Once you've connected Amazon Athena into the CData Connect Cloud, configure virtual Datasets and Workspaces, and then generate a personal access token (PAT) to enable seamless integration and data management across various connected data sources.

    Virtual Datasets in CData Connect Cloud simplify access to diverse data sources, supporting tables, views, and derived views with full CRUD capabilities. Workspaces organize datasets, offer SQL Server, connectivity endpoints, and include assets like folders for efficient management. Learn more about Virtual Datasets here

    • Create a Workspace:
      • Click Virtual Datasets () on the left, then Add on the top right.
      • Enter a Workspace Name and click Confirm to create the workspace.
    • Create a Virtual Dataset or Folder:
      • In the workspace, click Add on the top right, select from the menu (Folder, Tables and Views, or Derived Views), and provide the necessary details (e.g., folder name, connection, tables/views).
      • Click Confirm to add the asset.
      • For any asset, the tabs show:
        • Columns: Metadata table.
        • Preview: Data item preview.
        • SQL: Generated SQL query, including the configurable Alias.

    Personal Access Tokens (PATs) in CData Connect Cloud allow connections via REST API, OData, or Virtual SQL Server.

    • To create a new PAT:
      • Go to Settings (top right) > Access Tokens.
      • Click Create PAT, enter a name, then click Create.
      • Copy the PAT using the copy icon. NOTE: The PAT can't be viewed again after closing the dialog, so make sure to copy it before clicking OK.
      • Click OK to close the dialog, and save the copied PAT for use in proceeding steps.
    • To regenerate a PAT, click the regeneration icon () in the PAT list and follow the prompts.

    STEP 2: Connect Retool to Amazon Athena in CData Connect Cloud

    Now that you've configured your Amazon Athena connection in CData Connect Cloud, it's time to integrate it with Retool.

    Retool can be connected to Amazon Athena in CData Connect Cloud via either OpenAPI or the Virtual SQL Server API. Choose the method that best suits your workflow:

    Connect via OpenAPI

    To connect using the OpenAPI specification, follow these steps:

    1. On CData Connect Cloud, from the left-hand side, go to Virtual Database > select a Workspace.
    2. Click the View Endpoints, and under the OpenAPI, copy the OpenAPI URL for the workspace. Keep the default options. See OpenAPI section for more information.
    3. Login to Retool and then go to the Resources tab, click Create new > Resource.
    4. In the Select a resource type search bar, and search for OpenAPI.
    5. Click OpenAPI. The Configure OpenAPI screen appears. Enter the following information to configure the OpenAPI connector:
      • Name: The Connection Name to identify the connector on Retool.
      • Specification URL: The OpenAPI URL you copied from the Workspace in CData Connect Cloud. Paste the URL here.
      • Forward headers when fetching OpenAPI spec: Check this box.
      • Under the URL parameters, keep the key-value pair unchanged.
      • In the Headers section, write the key as Authorization and in the value, write Basic.
      • For the Basic connection value, Retool requires a base64-encoded version of your CData Connect Cloud username:PAT combination (where PAT is the token you generated earlier). Use a tool like this to encode the value. For example, test@cdata.com:12345 encodes to dGVzdEBjZGF0YS5TIzNDU=. Copy this encoded value and paste it into the value field after Basic with a space.
      • Username: Enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, test@cdata.com.
      • Password: Enter the PAT you generated on the Settings page.
    6. Click Test connection to test your connection configuration. Once you have a successful connection, click Create resource.
    7. Create the app in Retool in which to integrate your data.
    8. Click Create resource query.
    9. Select the new resource you created, and view the endpoints that are available.
    10. You can now build your app with your live Amazon Athena data.

    Connect via Virtual SQL Server API

    To connect using the Virtual SQL Server API, follow these steps:

    1. Login to Retool, then go to Resources. Click Connect New at the top-right and select Resources.
    2. Enter Microsoft SQL in the search bar, click the resulting option, and enter the following details:
      • Name: A name for the connection to CData Connect Cloud.
      • Host: tds.cdata.com.
      • Port: 1433.
      • Database Name: Enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, Salesforce1).
      • Database Username: Enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, test@cdata.com.
      • Database Password: Enter the PAT you generated on the Settings page.
    3. Click Test Connection. If the connection fails, you might need to whitelist CData Connect Cloud IPs for Retool and other data sources. Check out the documentation here.
    4. If it succeeds, click Create Resource.
    5. Your connection is now set up, and you can build your app with live Amazon Athena data.


    STEP 3: Build Retool Apps with Your Live Amazon Athena Data

    Now that you have integrated Amazon Athena with Retool using CData Connect Cloud, it's time to utilize your live data to its full potential. Let's build a simple app:

    • Step 1: Set Up the Table (on home screen)
      • Create a New App in Retool.
      • Select your Amazon Athena connection.
      • Add a Table component and bind it to Amazon Athena's data.
    • Step 2: Add Filters (on top-right)
      • Add a Dropdown to filter by Opportunity Stage.
      • Add a Text Input for searching Account Name.
    • Step 3: Display Key Metrics (below Table)
      • Add a Text component to show Total Amount of filtered opportunities.
      • Use a query to sum the Amount for filtered data.
    • Step 4: Add Visuals (top-right or side panel)
      • Add a Bar Chart to visualize opportunities by Stage.
      • Add a Line Chart to show Expected Revenue over time.
    • Step 5: Test and Deploy (top-right)
      • Test filters, search, and charts.
      • Deploy the app and share the link for access.

    With these steps, you've successfully created a dynamic app to manage and visualize your Salesforce opportunities. Enjoy exploring your live data and leveraging it for better insights!


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