How to read data from Google Sheet Using Big Query

 Topic: How to read data from Google Sheet Using Big Query.

In this article, we will learn how to read data from Google Sheets using BigQuery. BigQuery is a powerful tool that allows you to access, analyze, visualize, and share billions of rows of data from your spreadsheet with Connected Sheets, the new BigQuery data connector.

To get started, you need to meet all of the following requirements: Access to the Google Cloud platform, BigQuery access, and a project with billing setup in BigQueryOnce you have met these requirements, you can create a BigQuery table with the datasource Google Drive document (URL of Google Sheet)After the schema is recognized, the today data from Google Sheet is visible in BigQueryYou can then run a query to display all of your daily data.

Connected Sheets runs queries on BigQuery on your behalf either when manually requested or on a defined schedule. Results of those queries are saved in your spreadsheet for analysis and sharingYou can also use Connected Sheets to collaborate with partners, analysts, or other stakeholders in a familiar spreadsheet interface.

Here are the steps to read data from Google Sheets using BigQuery:

1.       Ensure that you have access to the Google Cloud platform, BigQuery access, and a project with billing setup in BigQuery.

2.       Create a BigQuery table with the datasource Google Drive document (URL of Google Sheet).

3.       Run a query to display all of your daily data.

4.       Use Connected Sheets to collaborate with partners, analysts, or other stakeholders in a familiar spreadsheet interface.

If you’re interested in learning more about working with BigQuery data in Google Sheets, you can watch a video tutorial.

I hope this helps!


Video Tutorial: How to read data from Google Sheet Using Big Query 


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      Here are the steps to read data from Google Sheets using BigQuery:

      1. Ensure that you have access to the Google Cloud platform, BigQuery access, and a project with billing setup in BigQuery.

      2. Create a BigQuery table with the datasource Google Drive document (URL of Google Sheet).

      3. Run a query to display all of your daily data.

      4. Use Connected Sheets to collaborate with partners, analysts, or other stakeholders in a familiar spreadsheet interface.

      If you’re interested in learning more about working with BigQuery data in Google Sheets, you can watch a video tutorial.

      I hope this helps!

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  8. To read data from a Google Sheet using BigQuery, first link the sheet to a BigQuery project. Then, you can query the data using SQL in BigQuery. Ensure the sheet is in a supported format and region. You'll need appropriate permissions for both Google Sheets and BigQuery.
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  13. To read data from Google Sheets using BigQuery, follow these steps:

    Enable Google Sheets API: Enable the Google Sheets API in the Google Cloud Console.
    Create a Google Cloud Project: If you don't have one already, create a Google Cloud project.
    Set Up BigQuery Connection: In Google Cloud Console, navigate to BigQuery and create a dataset where you want to import data.
    Create External Table: Use BigQuery's External Table feature to connect to your Google Sheets data. Specify the Google Sheets URL or ID, and define schema if needed.
    Authorize Access: Make sure to authorize access to the Google Sheets data within the Cloud Console.
    Query Data: Once the external table is set up, you can query the data directly in BigQuery using SQL.
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  23. Great guide on reading data from Google Sheets using BigQuery! The steps are clear and easy to follow. I love how you highlighted the benefits of Connected Sheets for collaboration. Thanks for sharing!

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