Create SAS xpt-Connected Visualizations in Klipfolio

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CData Connect



Use CData Connect Cloud to connect to SAS xpt from Klipfolio and build custom visualizations using live SAS xpt data.

Klipfolio is an online dashboard platform for building real-time business dashboards for your team or your clients. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to SAS xpt data for visualizations, reports, and more. This article shows how to create a virtual database for SAS xpt in Connect Cloud and build visualizations from SAS xpt data in Klipfolio.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for SAS xpt, allowing you to build reports from live SAS xpt data in Klipfolio — without replicating the data to a natively supported database. As you create visualizations, Klipfolio 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 return the requested SAS xpt data quickly.

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 connect to SAS xpt data from Klipfolio.

Connect to SAS xpt in Klipfolio

The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new SAS xpt data source.

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MySQL as the Service
  4. Click "Create a custom MySQL data source"
  5. Configure the data source by setting the MySQL connection properties:
    • Host: your instance (e.g., myinstance.cdatacloud.net)
    • Port: 3306
    • Database: your database (e.g., SASXpt1)
    • Driver: MySQL
    • Username: your CloudHub username
    • Password: your CloudHub password
    • SQL Query: any query to retrieve data (e.g., SELECT * FROM SampleTable_1)
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
  6. Click "Get data" to preview the SAS xpt data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit"

Create a Klip

With the data modeled, we are ready to create a Klip (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create a Klip"
  2. Drag in a component
  3. For the Series, select the column whose count or aggregation you wish to visualize
  4. For the X Axis, select the column you wish to group by
  5. In the Properties tab for the X Axis, click the checkbox to "Group repeating labels"
  6. Click "Save"
  7. Set the Name & Description and click Save

SQL Access to SAS xpt Data from Cloud Applications

Now you have a Klip built from live SAS xpt data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating SAS xpt data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud.