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You can use CData Connect AI to query YouTube Analytics data through a SQL Server interface. Follow the procedure below to create a virtual database for YouTube Analytics in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for YouTube Analytics, allowing you to easily query live YouTube Analytics data in Node.js โ without replicating the data to a natively supported database. As you query data in Node.js, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to YouTube Analytics, leveraging server-side processing to quickly return YouTube Analytics data.
Connectivity to YouTube Analytics from NodeJS is made possible through CData Connect AI. To work with YouTube Analytics data from NodeJS, we start by creating and configuring a YouTube Analytics connection.
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.
With the connection configured and a PAT generated, you are ready to connect to YouTube Analytics data from Node.js.
The following example shows how to define a connection and execute queries to YouTube Analytics with the SQL Server module. You will need the following information:
Connect to YouTube Analytics data and start executing queries with the code below:
var sql = require('mssql')
var config = {
server: 'tds.cdata.com',
port: 14333,
user: '[email protected]', //update me
password: 'CONNECT_USER_PAT', //update me
options: {
encrypt: true,
database: 'YouTubeAnalytics1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Groups', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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