Create Apps from SAS xpt Data in Qlik Sense Cloud

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to SAS xpt Data and build apps from live SAS xpt data in Qlik Sense Cloud.

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect AI creates a live connection to SAS xpt. By pairing Qlik Sense 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 from Qlik Sense Cloud and get instant, live access to your SAS xpt data.

In this article, we walk through two connections:

  1. Connecting to SAS xpt in Connect AI
  2. Connecting to Connect AI from Qlik Sense Cloud to create a model and build a simple dashboard

Configure SAS xpt Connectivity for Qlik Sense Cloud

Connectivity to SAS xpt from Qlik Cloud is made possible through CData Connect AI. To work with SAS xpt data from Qlik Cloud, we start by creating and configuring a SAS xpt connection.

  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.

With the connection configured and a PAT generated, you are ready to connect to SAS xpt data from Qlik Sense Cloud.

Create a Qlik Sense App from SAS xpt Data

This section explains how to add SAS xpt data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

  1. Log into your Qlik Sense instance and click the button to create a new app
  2. Name and configure the new app and click "Create"
  3. In the workspace, click to open the new app
  4. Click to add data from files and other sources
  5. Select the Microsoft SQL Server connector and set the configuration properties.
    • Set Server to tds.cdata.com
    • Set Port to 14333
    • Set Database to the connection you created (e.g. SASXpt1)
    • Set User name to the Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
  6. Select an owner for the connection
  7. Select a SAS xpt entity (Table) to view
  8. Click Next, configure the model, and load the data into Qlik Sense.

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your SAS xpt data.

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 Qlik Sense Cloud.

Ready to get started?

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