Create SAS xpt-Connected Business Apps in AppSheet
Google AppSheet is a no-code development platform for application software, enabling users to design mobile, tablet, and web applications. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to SAS xpt data for business applications. This article outlines the process of connecting to SAS xpt using Connect AI and constructing a basic app from SAS xpt data within AppSheet.
CData Connect AI offers a dedicated cloud-to-cloud interface for SAS xpt, enabling the creation of reports directly from live SAS xpt data within AppSheet, all without the need for data replication to a native database. When you design applications that interact with data, AppSheet formulates SQL queries to retrieve the required information. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to SAS xpt. This leverages server-side processing to swiftly deliver the requested SAS xpt data.
Configure SAS xpt Connectivity for AppSheet
Connectivity to SAS xpt from AppSheet is made possible through CData Connect AI. To work with SAS xpt data from AppSheet, we start by creating and configuring a SAS xpt connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "SAS xpt" from the Add Connection panel
-
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).
- Click Save & Test
-
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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
- 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 AppSheet.
Connect to SAS xpt from AppSheet
The steps below outline connecting to CData Connect AI from AppSheet to create a new SAS xpt data source.
- Log into AppSheet
- Click "My account" in the menu
- Click the Sources tab and add a new data source
- Select Cloud Database and set the connection information
- Type: Sql Server
- Server: tds.cdata.com,14333
- Database: the SAS xpt connection, for example, SASXpt1
- Username: a Connect AI user, for example, [email protected]
- Password: the PAT for the above Connect AI user
- SSL: Require SSL
- Click "Test Connection"
- 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.
- Click to create a new app and select "Start with your own data"
- Name the app and select an appropriate category, based on your data
- Select the newly created data source
- 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 live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!