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Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Amazon Athena, you can easily get access to live Amazon Athena data within Tableau. This article shows how to connect to Amazon Athena in Tableau and build a simple chart.
The CData Tableau Connectors enable high-speed access to live Amazon Athena data in Tableau. Once you install the connector, you simply authenticate with Amazon Athena and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Amazon Athena data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Amazon Athena data.
NOTE: The CData Tableau Connectors require Tableau 2020.3 or higher. If you are using an older version of Tableau, you will need to use the CData JDBC Driver. If you wish to connect to Amazon Athena data in Tableau Cloud, you will need to use CData Connect AI.
CData provides the easiest way to access and integrate live data from Amazon Athena. Customers use CData connectivity to:
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.
Open Tableau and click More under Connect -> To a Server. Select "Amazon Athena by CData," then configure the connection and click "Sign In."
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.
To obtain the credentials for an IAM user, follow the steps below:
To obtain the credentials for your AWS root account, follow the steps below:
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.
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.
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).
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 the Connector (Sage Intacct is shown)Using the CData Tableau Connector for Amazon Athena with Tableau, you can easily create robust visualizations and reports on Amazon Athena data. Download a free, 30-day trial and get started today.
Download a free trial of the Amazon Athena Tableau Connector to get started:
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👁 Amazon Athena IconThe fastest and easiest way to connect Tableau to Amazon Athena data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.