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This guide explains everything you need to get started with the Adobe Analytics PowerShell Cmdlets. You'll learn how to install the cmdlets, configure your first connection, run queries, and explore next steps for working with Adobe Analytics data in PowerShell.
CData PowerShell Cmdlets run anywhere PowerShell runs.
CData Cmdlets are delivered through the PowerShell Gallery, ensuring a simple and consistent installation process across platforms.
Install-Module AdobeAnalyticsCmdlets -Repository PSGallery -Force
This command:
To verify installation:
Get-Module -ListAvailable "*AdobeAnalytics*"
The cmdlets support both trial and fully licensed activation.
Trial activation is automatic - no key is required. Once installed, you can begin using the cmdlets immediately.
If you have purchased a full license, you will receive a product key from the CData Orders Team.
Run the following command:
Set-ModuleLicense ""
You should see a confirmation message indicating successful activation.
Can I use my license on multiple machines?
Depending on your subscription tier. Refer to your order confirmation or contact [email protected].
I lost my license key. What do I do?
Email [email protected] with your order number to have it resent.
Can I transfer my license to another machine?
Submit a license transfer request here: https://www.cdata.com/lic/transfer/.
Where can I manage my license?
Visit the CData Customer Portal: https://portal.cdata.com/.
Once the module is installed and licensed, you can establish a connection to Adobe Analytics using the
Connect-Adobe Analytics cmdlet
After obtaining the needed connection properties, accessing Adobe Analytics data in PowerShell and preparing for replication consists of four basic steps.
Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.
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.
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.
Install the module:
Install-Module AdobeAnalyticsCmdlets
Connect to Adobe Analytics:
$adobeanalytics = Connect-AdobeAnalytics -GlobalCompanyId $GlobalCompanyId -RSID $RSID -OAuthClientId $OAuthClientId -OauthClientSecret $OauthClientSecret -CallbackURL $CallbackURL
Once connected, you can query data using standard SQL like commands.
Example Query:
$results = Select-AdobeAnalytics ` -Connection $conn ` -Table "AdsReport" ` -Columns "Page,PageViews" ` -Where "Page != ''"
Display the results:
$results
You have now successfully accessed Adobe Analytics data from PowerShell!
Solution: Verify username, password, and security token. For OAuth applications, you may need to authorize CData in your application's security settings. Contact [email protected] for authorization assistance.
Solution: Confirm firewall settings and outbound access. Most cloud applications use port 443.
Solution: Ensure the module is installed-
Get-Module -ListAvailable "*Adobe Analytics*"
Solution:
For additional connection troubleshooting, contact [email protected] with your specific error message.
Now that you have installed, licensed, and configured the PowerShell Cmdlets, here are some scenarios you can use to explore:
| PowerShell | Article Title |
|---|---|
| Piping Cmdlets | How to pipe Adobe Analytics Data to CSV in PowerShell |
| Replication | PowerShell Scripting to Replicate Adobe Analytics Data to MySQLl |
If you need assistance:
Not always.
Install-Module AdobeAnalyticsCmdlets -Scope CurrentUser
CData PowerShell Cmdlets are delivered through the PowerShell Gallery. Installation is performed via:
Install-Module AdobeAnalyticsCmdlets -Repository PSGallery -Force
Create separate connection objects-each with different authentication properties:
$conn1 = Connect-AdobeAnalytics -User User1 -Password Pwd1
$conn2 = Connect-AdobeAnalytics -User User2 -Password Pwd2
Cmdlets do not use ODBC DSNs. All connection properties are passed directly in
Connect-Adobe Analytics
Many cmdlets support proxy properties such as:
Refer to the data-source-specific Help documentation.
Common causes:
Try:
Contact [email protected] for query optimization assistance.
Enable module logging with:
Set-ModuleLogging -Path "C:\logs\cdata.log" -Verbosity 3Upload the log file securely when working with CData Support.
Most cloud applications (Salesforce, HubSpot, Dynamics, Google APIs, etc.) use: HTTPS (443)
If your source requires additional ports, check its specific documentation or contact [email protected].
Install PowerShell 7 in the container and install the module:
pwsh -Command "Install-Module AdobeAnalyticsCmdlets -Force"Then authenticate normally.
Each cmdlet includes a Help documentation set installed locally and available online: https://www.cdata.com/powershell/.
CData releases major annual updates plus incremental updates throughout the year. Check your customer portal or contact [email protected] for version availability.
Every Cmdlet includes examples in the Help documentation, plus online examples for many services: https://www.cdata.com/powershell/. Examples include:
For questions not covered in this FAQ, [email protected].
Download a free trial of the Adobe Analytics Cmdlets to get started:
Download NowLearn more:
👁 Adobe Analytics IconAn easy-to-use set of PowerShell Cmdlets offering real-time access to Adobe Analytics data. The Cmdlets allow users to access live Adobe Analytics Metrics, Users, Reports, Segments, etc. - just like working with SQL server.