Transfer data from BigQuery to Google Sheets automatically

Growing businesses usually turn to cloud-based storage solutions for their growing data needs. BigQuery is an increasingly popular option for data management.

With BigQuery’s data warehouse, businesses can centralize their information in one place. Moreover, they can access and analyze this data at any time.

BigQuery can be easily integrated with Google Sheets. This enables organization members to collaborate on projects using a familiar tool while also accessing a live data stream from BigQuery.

First, we’ll explore BigQuery in more detail, and then we will go over a step-by-step process for connecting BigQuery to Google Sheets using Sheetgo.

What is BigQuery?

BigQuery is one of Google’s many products, it is a data warehouse storage system that enterprises can use to store all of their data.

Its huge processing power allows BigQuery to carry out rapid SQL queries whenever you need them. Furthermore, under Google’s infrastructure, your data in BigQuery is constantly secure and accessible, perfect for project collaborations within organizations.

Why connect Google Sheets to BigQuery?

As part of Google’s products, BigQuery can easily be integrated with Google Sheets. This has two main advantages:

1. Connected sheets have all of the features and tools Google offers.
2. Google Sheets can turn your data into powerful visual representations.

To learn more about Google Sheet’s analytical tools for data, read How to analyze BigQuery data within Google Sheets.

Connecting BigQuery to Google Sheets lets you tap into huge amounts of data, and a Sheetgo automation ensures this data is always updated.

An example

You want to import data on current Google search trends into a spreadsheet.

Connecting Google Sheets to a BigQuery database using Sheetgo would let you select updated trends data and analyze it in Google Sheets.

This powerful combination would help you identify the most popular trends or predict search trends to optimize your business’ marketing.

How to connect BigQuery to Google Sheets

There are two ways to connect BigQuery to Google Sheets:

• Manually through Google Sheets’ data menu.
• Automatically using Sheetgo.

Watch the video below or continue reading to learn both approaches.

Use Google’s connected sheets

This Google Sheets’ feature schedules automatic transfers within Sheets to connected BigQuery data.

Here is a breakdown of how to automatically import large datasets into Google Sheets:

1. In the Google Sheets toolbar, select Data > Data Connector > Connect to BigQuery
2. From here, select your desired BigQuery project, dataset and table or view.
3. Your dataset will now appear in the Google Sheets file.

Google will automatically fetch the data in a new tab in your spreadsheet.

Connect BigQuery to Google Sheets automatically using Sheetgo

Although the method covered above is an effective way to connect your data, Sheetgo offers other features that provide more advantages.

These are just some benefits of using Sheetgo to connect BigQuery to Google Sheets:

1. Unlimited rows of data: The data connector function in Google Sheets limits you to about 16,000 rows of data. On the other hand, Sheetgo allows you to import unlimited rows of data.
2. No need for a Google Enterprise account: Google’s BigQuery integration only works for Google Workspace accounts (Enterprise Plus, Education Plus, Enterprise Standard, or Enterprise Essentials). With Sheetgo, you don’t need any of these accounts, just connect Sheetgo to BigQuery and begin!
3. Experience spreadsheet behavior: Sheetgo’s functions and features lets you experience native spreadsheet behavior, unlike static results returned to your sheet by Google’s integration.
4. Build on your workflow: Instead of a one-off import, Sheetgo lets you continue building workflows with multiple automations using imported BigQuery data.

Now that we explored the benefits of using Sheetgo over Google’s in-built function, let’s look at the step-by-step instructions of how to connect BigQuery to Google Sheets automatically through Sheetgo.

Step 1: Sign up for Sheetgo

Sign up for Sheetgo using your Google account.

Step 2: Create workflow

Within Sheetgo, click New, then select Blank workflow.

Click Create an automation.

Step 3: Select your source

To choose your data source, scroll down to Databases and select BigQuery.

Click Grant permission so Sheetgo can connect to your BigQuery account.

Step 4: Find your BigQuery Project

Next, select your Bigquery Project, Dataset name, and Table or View. This will determine the data you are using.

Include a Query to pick the exact data you want to transfer.

Once you are happy with this, press Next step.

Step 5: Select a destination

It’s time to connect this dataset to Google Sheets. Select Google Sheets as your destination.

Name your new file.

When you’re done configuring you automation, press Finish and save.

Step 6: Automate your workflow

After saving your workflow, you can see a visual representation in the workflow view.

Under Triggers on the right sidebar, set up a schedule for your workflow to run on.

Sheetgo will automatically transfer data from BigQuery to Google Sheets at the frequency of your choice.

Final thoughts

As you can see, Sheetgo is a great option for businesses to connect BigQuery to Google Sheets.

It has numerous advantages over the native feature allowing you to build automations.

In fact, Sheetgo can transfer data from BigQuery data to Excel, CVS or TSV files. Read more about How to connect BigQuery data to Excel automatically