Build SAS xpt-Connected Dashboards in Redash

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for SAS xpt data and build visualizations and dashbaords from SAS xpt data in Redash.

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to SAS xpt data for visualizations, dashboards, and more. This article shows how to create a virtual database for SAS xpt and build visualizations from SAS xpt data in Redash.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for SAS xpt, allowing you to easily build visualizations from SAS xpt data in Redash. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to SAS xpt, leveraging server-side processing to quickly return SAS xpt data.

Create a Virtual MySQL Database for SAS xpt Data

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

  1. Log into Connect Cloud and click Databases.
  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 Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to build visualizations in Tableau Online.

Visualize SAS xpt Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual SAS xpt database in Connect Cloud and building a simple visualization from the data.

Create a New Data Source

  1. Log into Redash, click on your profile and click "Data Sources"
  2. Click the " New Data Source" button
  3. Select "MySQL (Amazon RDS)" as the Data Source Type (CData Connect uses SSL, which the standard MySQL connection in Redash does not support)
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. SAS xpt (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the CData Connect MySQL endpoint (e.g. 3306)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for SAS xpt (e.g. SASXpt1)
    • Click the checkbox to Use SSQL
  5. Click Create
  6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our SAS xpt data.

Create a SAS xpt Data Visualization

  1. Click Create -> New Query
  2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
  3. Write a SQL statement to retrieve the data, for example:
    SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'
  4. Click the "Execute" button to load SAS xpt data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from SAS xpt data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to SAS xpt Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to SAS xpt data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Cloud page.