Analyze SAS xpt Data in SAP Analytics Cloud

SAP Analytics Cloud is a cloud-based business intelligence platform. The CData Connect Server creates a virtual database for SAS xpt and can be used to generate an OData API (natively consumable in Analytics Cloud) for SAS xpt. By pairing SAP Analytics Cloud with the CData Connect Server, you get direct connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect Server as you would any other OData service and get instant, consolidated access to all of your data.

In this article, we walk through connecting to SAS xpt in Connect Server and connecting to Connect Server from Analytics Cloud to create a model and build a simple dashboard.

Configure Connect Server to Connect to SAS xpt

To connect to SAS xpt data from SAP Analytics Cloud, you need to configure SAS xpt access from your Connect Server instance. This means creating a user, connecting to SAS xpt, adding OData endpoints, and (optionally) configuring CORS.

Add a Connect Server User

Create a User to connect to SAS xpt from Analytics Cloud through Connect Server.

1. Click Users -> Add
2. Configure a User
3. Click Save Changes and make note of the Authtoken for the new user

Connect to SAS xpt from Connect Server

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

1. Open Connect Server and click Connections
2. Select "SAS xpt" from Available Data Sources
3. Enter the necessary authentication properties to connect to SAS xpt.

   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).

4. Click Save Changes
5. Click Privileges -> Add, and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal)

Add SAS xpt OData Endpoints in Connect Server

After connecting to SAS xpt, create OData Endpoint for the desired table(s).

1. Click OData -> Tables -> Add Tables
2. Select the SAS xpt database
3. Select the table(s) you wish to work with and click Next
4. (Optional) Edit the resource to select specific fields and more
5. Save the settings

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in OData -> Settings.

• Enable cross-origin resource sharing (CORS): ON
• Allow all domains without '*': ON
• Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
• Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Create a Model of SAS xpt Data in SAP Analytics Cloud

With the connection to SAS xpt configured and the OData endpoint(s) created, we can create a Model for SAS xpt data in SAP Analytics Cloud.

1. Log into your Analytics Cloud instance and click Create -> Model from the menu.
2. Choose "Get data from a datasource" and select "OData Services"
3. Choose an existing connection to your Connect Server OData or Create a new one:
   • Set "Connection Name"
   • Set "Data Service URL" to the Base URL for your OData API (typically: CONNECT_SERVER_URL/api.rsc)
   • Set "Authentication Type" to Basic Authentication
   • Set "User Name" to the Connect Server user you configured earlier
   • Set "Password" to the Authtoken for the above user
4. Choose "Create a new query" and click Next
5. Name the Query, select an OData endpoint (like sasxptdb_SampleTable_1) and click Next
6. Drag the columns you wish to work with into the Selected Data workspace and click Create
7. At this point, a Draft Data source is created; click the draft to finalize the model
8. Perform any transformations, including creating calculated dimensions, location dimensions, and combining data sources, then click Create Model
9. Name your model and click OK

Build a Dashboard in SAP Analytics Cloud

With the model created, you are ready to create a dashboard in SAP Analytics Cloud based on SAS xpt data.

1. From the menu, click Create -> Story
2. Click an SAP Analytics Template (this article uses the "Dashboard" template)
3. Choose a layout and click Apply
4. From the More menu, select a visualization to insert (Chart)
5. Select a model to visualize
6. Select a structure and the required Measures and Dimensions
7. Save the story

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live SAS xpt data. For more information on creating OData feeds from SAS xpt (and more than 200 other data sources), visit the Connect Server page. Sign up for a free trial and start working with live SAS xpt data in SAP Analytics Cloud.