![]() |
VOOZH | about |
The CData Cmdlets for Adobe Target offer live access to Adobe Target data from within PowerShell. Using PowerShell scripts, you can easily automate regular tasks like data replication. This article will walk through using the CData Cmdlets for Adobe Target and the CData Cmdlets for MySQL in PowerShell to replicate Adobe Target data to a MySQL database.
After obtaining the needed connection properties, accessing Adobe Target data in PowerShell and preparing for replication consists of four basic steps.
To connect to Adobe Target, you must provide the Tenant property along with OAuth connection properties mentioned below. Note that while other connection properties can influence processing behavior, they do not affect the ability to connect.
To determine your Tenant name:
You must set AuthScheme to OAuthClient for all user account flows.
Note: Adobe authentication via OAuth requires updating your token every two weeks.
Obtaining the OAuth Access Token
Set the following properties to connect:
With these settings, the provider obtains an access token from Adobe Target, which it uses to request data. The OAuth values are stored in the location specified by OAuthSettingsLocation, ensuring they persist across connections.
Install the module:
Install-Module AdobeTargetCmdlets
Connect to Adobe Target:
$adobetarget = Connect-AdobeTarget -Tenant $Tenant -InitiateOAuth $InitiateOAuth
Retrieve the data from a specific resource:
$data = Select-AdobeTarget -Connection $adobetarget -Table "Activities"
You can also use the Invoke-AdobeTarget cmdlet to execute pure SQL-92 statements:
$data = Invoke-AdobeTarget -Connection $adobetarget -Query 'SELECT * FROM Activities WHERE Type = @Type' -Params @{'@Type'='AB'}
Save a list of the column names from the returned data.
$columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name
With the data and column names collected, you are ready to replicate the data into a MySQL database.
Install the module:
Install-Module MySQLCmdlets
Connect to MySQL, using the server address and port of the MySQL server, valid user credentials, and a specific database with the table in which the data will be replicated:
$mysql = Connect-MySQL -User $User -Password $Password -Database $Database -Server $Server -Port $Port
Loop through the Adobe Target data, store the values, and use the Add-MySQL cmdlet to insert the data into the MySQL database, one row at a time. In this example, the table will need to have the same name as the Adobe Target resource (Activities) and to exist in the database.
$data | % {
$row = $_
$values = @()
$columns | % {
$col = $_
$values += $row.$($col)
}
Add-MySQL -Connection $mysql -Table "Activities" -Columns $columns -Values $values
}
You have now replicated your Adobe Target data to a MySQL database. This gives you freedom to work with Adobe Target data in the same way that you work with other MySQL tables, whether that is performing analytics, building reports, or other business functions.
Once you have connected to Adobe Target and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:
Select-AdobeTarget -Connection $adobetarget -Table "Activities" | % {
$row = $_
$values = @()
$columns | % {
$col = $_
$values += $row.$($col)
}
Add-MySQL -Connection $mysql -Table "Activities" -Columns $columns -Values $values
}
If you wish to replicate the Adobe Target data to another database using another PowerShell module, you will want to exclude the Columns, Connection, and Table columns from the data returned by the Select-AdobeTarget cmdlet since those columns are used to help pipe data from one CData cmdlet to another:
$columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name | ? {$_ -NotIn @('Columns','Connection','Table')}
Download a free trial of the Adobe Target Cmdlets to get started:
Download NowLearn more:
👁 Adobe Target IconAn easy-to-use set of PowerShell Cmdlets offering real-time access to Adobe Target data. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.