Google Analytics Integration


Google Analytics data can be integrated and synchronized codeless with various external systems, on premises or in the cloud, using the Layer2 Cloud Connector.
 

Learn on this page how the data integration of Google Analytics is working with the Layer2 Cloud Connector by using the step-by-step screenshot tutorial and reading our important advice and frequently asked questions. Make use of the benefits and features of this data integration tool by trying it out yourself: Free Trial Registration

How it works

In fact, you only need to do the 5 following steps to get your Google Analytics data integration started.  

 

 
  • Setup your connection as required: one-way (in this case).
  • Setup your data source, in this case Google Analytics database.
  • Setup your target - for example a Microsoft SharePoint list or library.
  • Setup your mapping. Recheck your configurations.
  • Start your project!
Google Analytics 5 steps of data integration via Layer2 Cloud Connector

Google Analytics step-by-step data integration via the Layer2 Cloud Connector


Use this step-by-step-introduction to get through the whole product and data integration configuration easily. Some steps require a copy-paste task of code snippets. Please follow the recommendations in this introduction closely.


Before you can proceed with the configuration, please be aware that



  • You need an API Account for anabling your desired APIs. To create an account, please visit the Google Developers Page: https://developers.google.com/
  • If you need help with setting up a Google Account and API, you will find a guideline very soon on our FAQs Pages.

 

  

Specific Connection settings for your Google analytics integration

Please copy and paste this connection string into the designated field like described in Step 2.5 of the step-by-introduction above.

 

InitiateOAuth=true;

 

Please enter the following SQL query into the "Select Statement" as well and adjust the placeholder.

 

 

SELECT * FROM Segments

 

 

Primary Key: Id

  

Benefits of using the Layer2 Cloud Connector for your Google analytics data integration

Large selection of systems

Benefit from a large and continuously growing list of supported IT Systems and Apps.

Multiple possibilities

Sync your Analytics data one-way locally or cloud-based and use it for migration, backup, or permanent synchronization projects.

High security

There is no access to your corporate data from the internet and no data transfer will occur to 3rd-parties. Logging and alerting are controlled centrally. You have the full control.

Flexible, high-end features

Select your datasets or files using varios codes, enable/disable specific operations, and manage sync options. Use the dynamic columns for detailed configurations and if you want to, extend the features of the product by using C#.

Many data provider included

Use our own customized providers for SharePoint / Office 365, OData, File System, XML, RSS, Exchange, SOAP, Azure, and more. Besides, many vendor-specific or 3rd party ADO.NET data providers are supported as well.

Cost-effective licensing

3 fully-featured product editions are available: Personal Edition (for one conncetion only), Professional Edition, and Enterprise Edition as our one-stop-shop solution. Have a look at the Buy Now Page.

Known issues and workarounds

 

  • If you are installing more APIs from Google, you have to install it all at once and then restart your machine. After a new API installation, you may have to restart the machine to get the entries correct and runnable for the PowerShell-Script.
  • In older versions of the Layer2 Cloud Connector (7.8-7.20) pop-ups don’t work anymore. If you try to connect to the Google API’s you will get a 500 Error, once the API needs the confirmation from the user account. The "Preview Data" functionality is not working automatically in this szenario with V7.8-7.20. You can make it work, if you bypass the authentication through the pop-up. Here is a PowerShell script workaroundfor the preview data functionality for your Google Analytics data integration.



Ready to go next steps?

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