Analyze SAS xpt Data in SAP Analytics Cloud

SAP Analytics Cloud is a cloud-based business intelligence platform. CData Connect AI creates a pure, cloud-to-cloud connection to SAS xpt and can be used to generate an OData API (natively supported in Analytics Cloud) for SAS xpt. By pairing SAP Analytics Cloud with CData Connect AI, you get true cloud-to-cloud 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 AI 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 from SAP Analytics Cloud (through CData Connect AI) to create a model and build a simple dashboard.

Connect to SAS xpt from SAP Analytics Cloud

To work with live SAS xpt data in SAP Analytics Cloud, we need to connect to SAS xpt from Connect AI, provide user access to the connection, and create a Workspace for the SAS xpt data.

Connect to SAS xpt from Connect AI

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SAS xpt" from the Add Connection panel

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 & Test
5. Navigate to the Permissions tab in the Add SAS xpt Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure SAS xpt Endpoints for SAP Analytics Cloud

After connecting to SAS xpt, create a workspace for your desired table(s).

1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the SAS xpt connection (e.g. SASXpt1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to SAS xpt data from SAP Analytics Cloud.

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 AI OData or Create a new one:
   • Set Connection Name
   • Set Data Service URL to the Base URL for your OData API: https://cloud.cdata.com/api/odata/{workspace_name}
   • Set Authentication Type to Basic Authentication
   • Set User Name to the Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the above user
   
4. Choose "Create a new query" and click Next
5. Name the Execute, select an OData endpoint (like 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 on 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 store

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 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live SAS xpt data in SAP Analytics Cloud.