# Connecting to Google BigQuery in Amazon Glue Studio
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**Note**  

 You can use Amazon Glue for Spark to read from and write to tables in Google BigQuery in Amazon Glue 4.0 and later versions. To configure Google BigQuery with Amazon Glue jobs programmatically, see
 [BigQuery connections](aws-glue-programming-etl-connect-bigquery-home.md).
 

 Amazon Glue Studio provides a visual interface to connect to BigQuery, author data integration jobs, and run them on the Amazon Glue Studio serverless Spark runtime. 

 When creating a connection to Google BigQuery in Amazon Glue Studio, a unified connection is created. For more information, see [Considerations](using-connectors-unified-connections.md#using-connectors-unified-connections-considerations). 

 Instead of creating a secret with the credentials in a specific format, `{"credentials": "base64 encoded JSON"}`, now with unified connection to Google BigQuery, you can create a secret which directly includes the JSON from Goolge BigQuery: `{"type": "service-account", ...}`. 

**Topics**
+ [Creating a BigQuery connection](creating-bigquery-connection.md)
+ [Creating a BigQuery source node](creating-bigquery-source-node.md)
+ [Creating a BigQuery target node](creating-bigquery-target-node.md)
+ [Advanced options](#creating-bigquery-connection-advanced-options)

## Advanced options
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You can provide advanced options when creating a BigQuery node. These options are the same as those available when programming Amazon Glue for Spark scripts.

See [ BigQuery connection option reference ](https://docs.amazonaws.cn//glue/latest/dg/aws-glue-programming-etl-connect-bigquery-home.html) in the Amazon Glue developer guide.