
准备工作
- 实验会创建一个 Google Cloud 项目和一些资源,供您使用限定的一段时间
- 实验有时间限制,并且没有暂停功能。如果您中途结束实验,则必须重新开始。
- 在屏幕左上角,点击开始实验即可开始
Pull data from censustract_2018_5y using the BigQuery data connector
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Pull data from censustract_2018_5yr_top10000_housingunits using the BigQuery data connector
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In this scenario, you are a data analyst with strong experience in Google Sheets but are new to BigQuery. You are employed with a solar energy company who is interested in identifying U.S. counties with the highest number of homeowners who can benefit from a new grant. The new United States (U.S.) federal grant is available to homeowners with homes built before 1960 and annual incomes below $60,000 USD. You know that the necessary data to identify these homeowners is in your company's BigQuery data warehouse and would like to analyze the BigQuery data in Google Sheets.
Through the BigQuery data connector in Google Sheets, Connected Sheets provides you with the ability to access, analyze, visualize, and share BigQuery data without the need for any SQL.
In this lab, you learn how to get started with BigQuery data in Google Sheets by using the BigQuery data connector to pull data from BigQuery tables (in a Google Cloud project) into Google Sheets.
In this lab, you will learn how to perform the following tasks:
For each lab, you get a new Google Cloud project and set of resources for a fixed time at no cost.
Sign in to Qwiklabs using an incognito window.
Note the lab's access time (for example, 1:15:00
), and make sure you can finish within that time.
There is no pause feature. You can restart if needed, but you have to start at the beginning.
When ready, click Start lab.
Note your lab credentials (Username and Password). You will use them to sign in to the Google Cloud Console.
Click Open Google Console.
Click Use another account and copy/paste credentials for this lab into the prompts.
If you use other credentials, you'll receive errors or incur charges.
Accept the terms and skip the recovery resource page.
In this first task, you log into Google Workspace in this lab environment using the provided credentials and then open a new Google Sheet.
To open Sheets, right-click this provided link for Open Google Sheets, and select the option to open the link in a new incognito window.
To sign into Google Workspace, use the credentials (username and password) provided on the current lab page.
Be sure to:
In BigQuery, a table ID contains all of the information needed to locate the table (including the names of the Google Cloud Project, the BigQuery dataset, and the table) and is structured as follows:
In this task, you use the BigQuery data connector to connect and pull the data from the following table in your lab-provided Google Cloud project into Google Sheets:
For Choose a cloud project, search for the
For Choose a dataset, select public_sector.
For Choose a table or view, select censustract_2018_5yr.
Click Connect.
After a successful data connection, the data will populate the Google Sheet and resemble the following table structure with 74,000 records.
geo_id | do_date | total_pop | households | more columns... |
---|---|---|---|---|
72021031033 | 2014-01-01 | 4234 | 1536 | ... |
72137122100 | 2014-01-01 | 2483 | 834 | ... |
72025200700 | 2014-01-01 | 3832 | 1445 | ... |
72021031021 | 2014-01-01 | 3555 | 1376 | ... |
72135510601 | 2014-01-01 | 5915 | 1550 | ... |
Click Check my progress to verify the objective.
Test your new skills by pulling in another BigQuery dataset into your Google Sheet.
For this challenge, repeat the lab tasks as needed to pull data from the following BigQuery table ID:
After a successful data connection, the data will populate the Google Sheet and have the same table structure as censustract_2018_5yr but only contain 10,000 records.
Click Check my progress to verify the objective.
You have successfully used the BigQuery data connector to pull data from a BigQuery table into your Google Sheet!
When you have completed your lab, click End Lab. Qwiklabs removes the resources you’ve used and cleans the account for you.
You will be given an opportunity to rate the lab experience. Select the applicable number of stars, type a comment, and then click Submit.
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