Create SAS xpt-Connected Business Apps in AppSheet

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CData Connect



Use CData Connect Cloud to connect to SAS xpt from AppSheet and build custom business apps using live SAS xpt data.

AppSheet provides a no-code development platform for application software, which allows users to create mobile, tablet, and web applications. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to SAS xpt data for business applications. This article shows how to create a virtual database for SAS xpt in Connect Cloud and build a simple app from SAS xpt data in AppSheet.

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 AppSheet — without replicating the data to a natively supported database. As you create applications to work with data, AppSheet 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 the requested 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 connect to SAS xpt data from AppSheet.

Connect to SAS xpt in AppSheet

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

  1. Log into AppSheet
  2. Click "My account" in the menu
  3. Click the Sources tab and add a new data source
  4. Select Cloud Database and set the connection information
    • Type: MySQL
    • Server: the endpoint for your instance, including port, for example, myinstance.cdatacloud.net:3306
    • Database: the virtual database, for example, SASXpt1
    • Username: a Connect Cloud user with permissions for the database
    • Password: the password for the above Connect Cloud user
    • SSL: Require SSL
  5. Click "Test Connection"
  6. Click "Authorize Access"

Create an App

Once you create the data source for SAS xpt, you can start building apps on SAS xpt data. Start by clicking "My apps" in the menu.

  1. Click to create a new app and select "Start with your own data"
  2. Name the app and select an appropriate category, based on your data
  3. Select the newly created data source (e.g., database-1)
  4. Select the table or view with the data you want

At this point, you can configure the design of your app, selecting which columns from the selected table to display, use as labels, and more. Preview the app in the preview panel and then publish or share it when ready.

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