How to Connect to & Open Amazon Athena Data in Microsoft Excel

The CData ODBC driver for Amazon Athena uses the standard ODBC interface to link Amazon Athena data with applications like Microsoft Access and Excel. Follow the steps below to use Microsoft Query to import Amazon Athena data into a spreadsheet and provide values to a parameterized query from cells in a spreadsheet.

Getting Started

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If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

You can then work with live Amazon Athena data in Excel.

NOTE: In recent versions of Excel, Microsoft Query is not visible by default. To enable visibility, Navigate to Options > Data and check From Microsoft Query (Legacy) under the Show legacy data import wizards section.

👁 Enabling Microsoft Query (Legacy).

1. In Excel, open the Data tab and choose Get Data -> Legacy Wizards -> From Microsoft Query (Legacy). 👁 Open Microsoft Query from the Data tab.
   
2. Choose the AmazonAthena DSN. Select the option to use Query Wizard to create/edit queries. 👁 The list of available ODBC DSNs in the Choose Data Source dialog.
   
3. In the Query Wizard, expand the node for the table you would like to import into your spreadsheet. Select the columns you want to import and click the arrow to add them to your query. Alternatively, select the table name to add all columns for that table. 👁 Available tables and columns in the Choose Columns step of the Query Wizard. (Salesforce is shown.)
   
4. The Filter Data page allows you to specify criteria. For example, you can limit results by setting a date range. 👁 The Filter Data step of the Query Wizard. (Salesforce is shown.)
   
5. If you want to use parameters in your query, select the option to edit the query in Microsoft Query.

6. To set a parameter in the query, you will need to modify the SQL statement directly. To do this, click the SQL button in the Query Editor. If you set filter criteria earlier, you should have a WHERE clause already in the query.

   To use a parameter, use a "?" character as the wildcard character for a field's value in the WHERE clause. For example, if you are importing the Customers, you can set "CustomerId=?".

7. Close the SQL dialog when you are finished editing the SQL statement. You will be prompted to enter a parameter value. In the next step, you will select a cell to provide this value. So, leave the box in the dialog blank. 👁 The generated SQL statement. (Salesforce is shown.)
   

8. Click File -> Return Data to Microsoft Excel. The Import Data dialog is displayed. Enter a cell where results should be imported. 👁 The Import Data dialog.
   

9. Close the Import Data dialog. You will be prompted to enter a parameter value. Click the button next to the parameter box to select a cell. Select the option to automatically refresh the spreadsheet when the value changes.

The data is now imported into Excel. When you change the value in cell B1, the data will be filtered by the specified search criteria. 👁 The results of the query, with the search criteria applied. (Salesforce is shown.)