How to Read the Data from BigQuery Table and Write to CSV File in Blob Storage

Google BigQuery is a cloud-based data warehouse that allows you to store and analyze large datasets. In this tutorial, we will learn how to read data from a BigQuery table and write it to a CSV file in Azure Blob Storage.
Prerequisites

• A Google Cloud Platform (GCP) account with BigQuery enabled.

• An Azure account with Blob Storage enabled.

• A dataset and table in BigQuery with data you want to export.

Steps

1. Open the BigQuery console.

1. In the navigation pane, select your project and dataset.

1. Click on the table you want to export.

1. Click on the Export button at the top of the page.

1. In the Export to section, select Cloud Storage.

1. In the Destination URI field, enter the path where you want to store your CSV file in Azure Blob Storage. For example: gs://my-bucket/my-folder/my-file.csv.

1. In the Export format section, select CSV.

1. Click on the Export button.

Conclusion
Before we begin, make sure you have the following:
That’s it! Your data is now exported from BigQuery to Azure Blob Storage as a CSV file.
In this tutorial, we learned how to read data from a BigQuery table and write it to a CSV file in Azure Blob Storage. This can be useful when you want to share data with others or use it in other applications.
If you have any questions or comments, please leave them below. Thanks for reading!

Video Tutorial: How to Read the Data from BigQuery Table and Write to CSV File in Blob Storage