Build SAS Data Sets-Connected Dashboards in Redash

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for SAS Data Sets data and build visualizations and dashbaords from SAS Data Sets 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 Data Sets data for visualizations, dashboards, and more. This article shows how to create a virtual database for SAS Data Sets and build visualizations from SAS Data Sets data in Redash.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for SAS Data Sets, allowing you to easily build visualizations from SAS Data Sets 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 Data Sets, leveraging server-side processing to quickly return SAS Data Sets data.

Create a Virtual MySQL Database for SAS Data Sets 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 Data Sets" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SAS Data Sets.

    Set the following connection properties to connect to your SAS DataSets files:

    • URI: Set this to the folder containing your .sas7bdat resources. Currently we only support local files.
  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 Data Sets Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual SAS Data Sets 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 Data Sets (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 Data Sets (e.g. SASDataSets1)
    • 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 Data Sets data.

Create a SAS Data Sets 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 name, borough FROM restaurants WHERE cuisine = 'American'
  4. Click the "Execute" button to load SAS Data Sets data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from SAS Data Sets data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to SAS Data Sets Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to SAS Data Sets 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.