Import SAS xpt Data into Microsoft Power Query



The CData API Server offers standards-based Web service endpoints that allow a variety of applications to access SAS xpt data. In this article, you will use the OData format to import SAS xpt data into Microsoft Power Query.

The API Server, when paired with the ADO.NET Provider for SAS xpt (or any of 200+ other ADO.NET Providers), enables you to use Web services to connect to and query SAS xpt data. This article details how to import an OData feed of SAS xpt data into Microsoft Power Query.

Set Up the API Server

Follow the steps below to begin producing secure SAS xpt OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to SAS xpt

After you deploy the API Server and the ADO.NET Provider for SAS xpt, provide authentication values and other connection properties needed to connect to SAS xpt by clicking Settings -> Connections and adding a new connection in the API Server administration console.

Connecting to Local SASXpt Files

You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

Connecting to S3 data source

You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

  • URI: Set this to the folder within your bucket that you would like to connect to.
  • AWSAccessKey: Set this to your AWS account access key.
  • AWSSecretKey: Set this to your AWS account secret key.
  • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

Connecting to Azure Data Lake Storage Gen2

You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

  • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
  • AzureAccount: Set this to the name of the Azure Data Lake storage account.
  • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
  • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

You can then choose the SAS xpt entities you want to allow the API Server access to by clicking Settings -> Resources.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default, only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

Connect to SAS xpt Data from Power Query

Follow the steps below to import tables that can be refreshed on demand:

  1. Configure the API Server to use a version of the OData protocol that is recognized by Power Query. In the API Server administration console, click Settings -> Server and change the value of the Default Version property to 3.0.
  2. From the ribbon in Excel, click Power Query -> From Other Data Sources -> From OData Feed, and enter the OData URL:

    https://your-server:8032/api.rsc
  3. In the next step of the wizard, define authentication credentials and set privacy levels. Select Basic authentication and enter the credentials for a user authorized to make requests. Specify the Username field and enter the user's authtoken in the Password field.

    To change the authentication scheme that Power Query will use, click Power Query -> Data Source Settings. Select the OData feed from the list and then click Edit Credential. Select the privacy level from the menu on the Data Source Settings page.

  4. You can now access SAS xpt data in Power Query. In the Navigator expand the node for the OData feed, right-click a table, and click Edit to open the Query Editor. This will display the table data.

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CData API Server