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CData Connect Server

Create Amazon Athena Dashboards in Bold BI



Use CData Connect Server to create a virtual SQL Server Database for Amazon Athena data to build custom dashboards in Bold BI.

Bold BI allows you to create, share, and collaborate on interactive BI dashboards. When paired with CData Connect Server, you get instant access to Amazon Athena data for visualizations, dashboards, and more. This article shows how to create a virtual database for Amazon Athena and build reports from Amazon Athena data in Bold BI.

CData Connect Server provides a pure SQL Server interface for Amazon Athena, allowing you to easily build reports from live Amazon Athena data in Bold BI — without replicating the data to a natively supported database. As you build visualizations, Bold BI generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Amazon Athena, leveraging server-side processing to quickly return the requested Amazon Athena data.

Create a Virtual SQL Server Database for Amazon Athena Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "Amazon Athena" from Available Data Sources.
  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 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.

  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Amazon Athena data from Bold BI.

Visualize Live Amazon Athena Data in Bold BI

The steps below outline connecting to CData Connect Server from Bold BI to create a new Amazon Athena data source and build a simple visualization from the data.

  1. Log into your Bold BI instance, click the data sources tab, create a new data source, and choose the SQL Server connector.
  2. Choose the basic configuration and set the connection properties:
    • Name: Name your connection
    • Server name: Your Connect Server instance (CONNECT_SERVER_URL)
    • Port: 1433
    • Username: Your Connect Server username
    • Password: Your Connect Server password
    • Mode: Choose Live to query Amazon Athena on-demand or choose Extract to load the data into Bold BI
    • Database: Choose the database you created from the drop-down menu (athenadb)
  3. Click Connect
  4. Select the table to visualize and drag it onto the workspace.
  5. Select a visualization style and add it to the report.
  6. Click the gear icon for the visualization to configure the visualization properties and assign columns to the visualization.

SQL Access to Amazon Athena Data from Applications

Now you have a direct connection to live Amazon Athena data from your Bold BI workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Amazon Athena data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, see the CData Connect page.