How to connect Google BigQuery with SharePoint

This "how-to-connect" documentation will explain the initial configuration of an example connection from Google BigQuery to a SharePoint Online List in Office 365. We will be synchronizing data stored in Google BigQuery.


This guide presupposes that you have installed the Layer2 Cloud Connector and that you are familiar with its basic functionality. The Layer2 Cloud Connector User Documentation will provide you with all necessary information.





1. Configuring Google BigQuery

2. Configuring the Layer2 Cloud Connector

2.1 Creating a new connection

2.2 Configuring the Data Entity 1

2.3 Configuring the Data Entity 2

2.4 Running your connection

3. Hints and known issues

3.1 Connection direction

3.2 Data model

3.3 Pop-up

3.4 Backend service and authentication


1. Configuring Google BigQuery

In order to connect to Google BigQuery, you need the project id and the dataset id. Both values can be found in your Google BigQuery account.


Google BigQuery project and data


If you experience any problems with the authentication method, you can create your own app. Go to and create your own app with a client id and secret key. Pass these values in the connection string.


Google BigQuery client id and secret



2. Configuring the Layer2 Cloud Connector

2.1. Creating a new connection

Create a new connection by using the Create New Connection option in the Actions pane (right-hand side). The new connection will appear at the bottom of the Connection Manager List (left-hand side). Click on your newly created connection to open the connection configuration settings.


Choose a meaningful name for your connection and replace the current "New Connection" Connection Title with it.


Connections to Google BigQuery can only be uni-directional.


Step 1 Google BigQuery connection setup



2.2. Configuring the Data Entity 1

We will now set up our Data Entities. Go to the data entity “Data Entity 1” to open the configuration settings.


Choose a Data Entity Title. It is recommended to give your entities meaningful names to maintain an overview when you decide to set up multiple connections.


Select the Data Provider for Google BigQuery from the data provider list. You can search for Google BigQuery by typing into the selection box.


Step 2 Google BigQuery integration source setup


For the Connection String, we need the information mentioned in step 1. You can copy the below connection string and adjust it to match your gathered information. Use the Verify Connection String option to evaluate if the provided connection string is valid.






  • "InitiateOAuth=GETANDREFRESH" this property defines that a new token will be generated after the authentication.
  • "ProjectId=yourprojectid;" this property must be defined to a valid project id from your Google BigQuery account.
  • "DatasetId=yourdatasetid;" this property must be set to a valid dataset id from your Google BigQuery account.
  • "UseLegacySQL=false;" if set to true, the query will use the BigQuery's Legacy SQL dialect to rebuild the query. If false, it will use the standard SQL.


If you created your own app, pass also the parameters with the created values: OAuthClientId=yourappclientid and OAuthClientSecret=yourappclientsecret.


The Select Statement text box is used to define specific data queries. We will be gathering all the results from our table. You can copy the below select statement and adjust it to match your needs. Save your changes by using the right-hand pane option Save Changes.


SELECT * FROM layer2table


Step 2.5 Google BigQuery integration connection string setup

To check if all necessary columns are received, you can use the Preview Data option on the right-hand pane which will provide you with a pop-up window showing your sample data from your Google BigQuery entity.



Preview data of Google BigQuery integration


2.3. Configuring the Data Entity 2

We are going to send the data to a custom SharePoint Online list. It's required that you set up this list prior to the next steps. Your list should contain matching columns according to your source entity.


Use the left-hand pane to switch to the data entity "Data Entity 2". We will be using the Layer2 SharePoint Provider for this setup. 

Step 3 Google BigQuery integration target setup

For more information about the SharePoint provider visit:


You can copy the below Connection String which contains the minimum of required properties to connect to your custom SharePoint Online list.




  • "URL=https://your_custom_sharepoint_url/AllItems.aspx;" this property defines the URL of your custom list that will be addressed.
  • "Authentication=Microsoft_Modern;" this property will determine the authentication method used. Microsoft_Moddern is the default authentication method to access Microsoft Office 365 / SharePoint Online and should work in most cases, even if the SharePoint site is connected to an ADFS. This authentication does not need any further connection string settings, other than the URL of the connected system.


Save your changes by using the right-hand pane option Save Changes.


In the next step, we will configure our mapping settings. Click on the Mappings option on the left-hand pane. If your fields from SharePoint are named identical to the fields from your source system, the Enable Auto Mapping option will match those columns. Disabling this option allows you to match your columns as needed. We enabled auto-mapping in our setup. Save your changes by using the right-hand pane option Save Changes.


Step 4 Google BigQuery integration mapping


2.4. Running your connection

To run your connection switch back to the main connection configuration node and use the Run Now Button located on the bottom of the setup page. The Run Synchronization Toolbox will also display the synchronization process. 


Step 5 Google BigQuery data integration start


Below is a data preview of the information we have access in our source entity:


Google BigQuery integration ready


This will be the result in our SharePoint Online list after our initial successful synchronization:


Finished Google BigQuery integration

3. Hints and known issues


3.1. Connection direction

As far as tested, this connection only supports uni-directional synchronizations. 


3.2. Data model

To see all the tables and views you can access with the Google BigQuery provider, use these queries in the Select Statement:



SELECT * FROM sys_tables


SELECT * FROM sys_views



If there are more tables or views available, you can load them with the option "load more" in the popup window.


The connection to this system uses a custom authentication. The provider needs the running account connected to the backend service from the Cloud Connector. 

Open services.msc and search for the Layer2 Cloud Connector Backend Service. Right-click on it and go to Properties. Set your account with the password in the tab Log On. Restart the service.


NOTE: if you update your Layer2 Cloud Connector, this step must be repeated.






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