Google BigQuery Data Integration

Google BigQuery 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 BigQuery 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 BigQuery data integration started.




  • Setup your connection as required: one-way (in this case).
  • Setup your data source, in this case Google BigQuery.
  • Setup your target– for example a Microsoft SharePoint list or library.
  • Setup your mapping.
  • Start your project!

Google BigQuery 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 to have the Simba ODBC Driver for Google BigQuery installed on the computer that runs the Layer2 Cloud Connector. You can find the component on the BigQuery Connectors Page.


Connection Setup for Google BigQuery data integration
Connection setup in the Layer2 Cloud Connector for BigQuery data integration
Connection string configuration in the Layer2 Cloud Connector for Google BigQuery data integration
Target configuration in the Layer2 Cloud Connector for BigQuery data integration
Run the BigQuery data integration via Layer2 Cloud Connector
Mapping in the Layer2 Cloud Connector for Big query data integration
Preview data in the Layer2 Cloud Connector
Example: BigQuery data in SharePoint after a data integration with the Layer2 Cloud Connector

Specific Connection String for your Google BigQuery integration


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


The DSN=NAME has to be the name you have set from the ODBC Data Source System Data Sources. In our case we are getting the content from the table github_contributors.


Connection String: DSN=Google BigQuery


Select Statement: SELECT * FROM github_contributors


Benefits of using the Layer2 Cloud Connector for your BigQuery data integration

Time saving

Quick and easy installation in just minutes. Combine your data automatically in the background and benefit of better insights and greater revenues.

Multi-talent tool

Sync your Google BigQuery data one-way or two-way locally or cloud-based and use it for migration, backup, or permanent synchronization projects. It is up to you.

High security

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

Many setting options

Use the Layer2 Cloud Connecor in a very easy and simple way, or benefit from customizable options and features. You decide.

Many data provider included

To be even more easier: Use our own customized providers for common systems. Many more vendor-specific or 3rd party ADO.NET data providers are supported as well.

Cost-effective licensing

Two product editions are available: Personal Edition (for one connection only) and Professional Edition (for multiple connections). In addition, you can benefit from our Software Assurance.

Known issues and workarounds


Please take into account our advice and known limitations.


  • In the newest version of the Layer2 Cloud Connector (7.8+) 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.
  • 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.


Take your next steps

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