Query Adobe Analytics Data as a SQL Server Database in Node.js

You can use CData Connect Cloud to query Adobe Analytics data through a SQL Server interface. Follow the procedure below to create a virtual database for Adobe Analytics in Connect Cloud and start querying using Node.js.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Adobe Analytics, allowing you to easily query live Adobe Analytics data in Node.js — without replicating the data to a natively supported database. As you query data in Node.js, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Adobe Analytics, leveraging server-side processing to quickly return Adobe Analytics data.

Configure Adobe Analytics Connectivity for NodeJS

Connectivity to Adobe Analytics from NodeJS is made possible through CData Connect Cloud. To work with Adobe Analytics data from NodeJS, we start by creating and configuring a Adobe Analytics connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Adobe Analytics" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Adobe Analytics.

   Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.

   Retrieving GlobalCompanyId

   GlobalCompanyId is a required connection property. If you do not know your Global Company ID, you can find it in the request URL for the users/me endpoint on the Swagger UI. After logging into the Swagger UI Url, expand the users endpoint and then click the GET users/me button. Click the Try it out and Execute buttons. Note your Global Company ID shown in the Request URL immediately preceding the users/me endpoint.

   Retrieving Report Suite Id

   Report Suite ID (RSID) is also a required connection property. In the Adobe Analytics UI, navigate to Admin -> Report Suites and you will get a list of your report suites along with their identifiers next to the name.

   After setting the GlobalCompanyId, RSID and OAuth connection properties, you are ready to connect to Adobe Analytics.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Adobe Analytics Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. 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, you are ready to connect to Adobe Analytics data from Node.js.

Query Adobe Analytics from Node.js

The following example shows how to define a connection and execute queries to Adobe Analytics with the SQL Server module. You will need the following information:

• server: tds.cdata.com
• port: 14333
• user: a Connect Cloud user (e.g. user@mydomain.com)
• password: the PAT for the above user
• database: The connection you configured for Adobe Analytics (AdobeAnalytics1)

Connect to Adobe Analytics data and start executing queries with the code below:

var sql = require('mssql')
var config = {
	server: 'tds.cdata.com',
	port: 14333, 
	user: 'user@mydomain.com', //update me
	password: 'CONNECT_USER_PAT', //update me	
	options: {
		encrypt: true,
		database: 'AdobeAnalytics1'
	}
}

sql.connect(config, err => { 
    if(err){
        throw err ;
    }
    new sql.Request().query('SELECT * FROM AdsReport', (err, result) => {
        console.dir(result)
    })
        
});

sql.on('error', err => {
    console.log("SQL Error: " ,err);
})