If you re struggling to learn SQL as part of the Google Data Analytics Certification Course on Coursera and want to import data from a Google Sheets table to BigQuery, here s a step-by-step guide:
筹备工作 谷歌数据:
Make sure your Google Sheets document with the data is organized well, including a header row and meaningful column names.
Share Google Sheets:
Share your Google Sheets document with the service account associated with your Google Cloud project. You can do this by clicking on "Share" in Google Sheets and adding the email address linked to your Google Cloud project.
Enable Google Sheets API:
Go to the Google Cloud Console, navigate to "APIs & Services" > "Library," and enable the "Google Sheets API" for your project.
Create Service Account:
If you don t have one, create a service account in the Google Cloud Console. Assign necessary permissions, such as the "BigQuery User" role, to the service account.
Download Service Account Key File:
Download the JSON key file for your service account from the Google Cloud Console.
Install Required Libraries:
在你的机器上安装必要的沙捞越室,使用以下指挥:
www.un.org/sc/
利用下载的服务账户钥匙,开发一种从谷歌谢特到大公国的数据的硬墙。 举一个简单的例子:
用你的实际项目ID、服务账户关键文档途径、数据集、表格和谷歌谢物URI取代持有人。
:
Execute the Python script, and it should load data from Google Sheets into your specified BigQuery table.
Remember to tailor the script to your data structure and requirements. Ensure proper security practices for your service account key and access permissions.
