VOOZH about

URL: https://www.cdata.com/kb/tech/athena-cloud-appsheet.rst

⇱ Create Amazon Athena-Connected Business Apps in AppSheet


Create Amazon Athena-Connected Business Apps in AppSheet

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to Amazon Athena Data via CData Connect AI in Google AppSheet and create custom business applications with real-time access to Amazon Athena data.

Google AppSheet is a no-code development platform for application software, enabling users to design mobile, tablet, and web applications. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Amazon Athena data for business applications. This article outlines the process of connecting to Amazon Athena using Connect AI and constructing a basic app from Amazon Athena data within AppSheet.

CData Connect AI offers a dedicated cloud-to-cloud interface for Amazon Athena, enabling the creation of reports directly from live Amazon Athena data within AppSheet, all without the need for data replication to a native database. When you design applications that interact with data, AppSheet formulates SQL queries to retrieve the required information. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Amazon Athena. This leverages server-side processing to swiftly deliver the requested Amazon Athena data.

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


Configure Amazon Athena Connectivity for AppSheet

Connectivity to Amazon Athena from AppSheet is made possible through CData Connect AI. To work with Amazon Athena data from AppSheet, we start by creating and configuring a Amazon Athena connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Amazon Athena" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. 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.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Amazon Athena Connection page and update the User-based permissions. πŸ‘ 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. πŸ‘ 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 Amazon Athena data from AppSheet.

Connect to Amazon Athena from AppSheet

The steps below outline connecting to CData Connect AI from AppSheet to create a new Amazon Athena data source.

  1. Log into AppSheet
  2. Click "My account" in the menu
  3. Click the Sources tab and add a new data source πŸ‘ Creating a new data source
  4. Select Cloud Database and set the connection information
    • Type: Sql Server
    • Server: tds.cdata.com,14333
    • Database: the Amazon Athena connection, for example, AmazonAthena1
    • Username: a Connect AI user, for example, [email protected]
    • Password: the PAT for the above Connect AI user
    • SSL: Require SSL
    πŸ‘ Connecting to Connect AI
  5. Click "Test Connection"
  6. Click "Authorize Access"

Create an App

Once you create the data source for Amazon Athena, you can start building apps on Amazon Athena data. Start by clicking "My apps" in the menu.

  1. Click to create a new app and select "Start with your own data"
  2. Name the app and select an appropriate category, based on your data
  3. Select the newly created data source
  4. Select the table or view with the data you want πŸ‘ Selecting a table

At this point, you can configure the design of your app, selecting which columns from the selected table to display, use as labels, and more. Preview the app in the preview panel and then publish or share it when ready.

πŸ‘ Configuring an app connected to Connect AI.

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

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

Free Trial