How to 🔗LINK 💚Google Sheets to 🛢️BigQuery

Welcome to a new era of data management. Many confuse linking with loading data into BigQuery. While loading data is powerful, linking offers a lasting connection. You don't need to reload. With tools like Cooltables, you can choose between loading and linking. This lets you use BigQuery's power right in Google Sheets.

Once linked, you stay connected. You don't need extra maintenance or costs. No scripts or triggers. Just pure control within Sheets.

By linking, you open up new possibilities. Perform Business Intelligence tasks with Looker Studio. Use Connected Sheets as an alternative to IMPORTRANGE. Combine sheets to create vast tables, easy as pie. Link static sheets or live ones you update daily.

The benefits? It's free, no custom scripts needed, and fewer errors. The only downside? Make sure data types match between Sheets and BigQuery. This simple setup brings huge advantages. Try it and see for yourself.

3 Ways

Choose the correct way to transfer data from a sheet to BigQuery.

We have 3 ways to bring your data to BigQuery:

1. Linking tables.

2. Loading data and replacing existing table contents. 

3. Appending data to the existing table.

This article describes the "Linking" method.

⛓Linking Google Sheets to BigQuery

BigQuery is a "god-mode" for your Sheets.

➭ Constant updates

The update works on demand. Query your BigQuery table in any place:

• SELECT from the BigQuery console

• Refresh connected sheet

• Connect in Looker Studio.

A query will fetch the latest data from the sheet.

"Linking" to the table means you do not need to make further setups. Get rid of:

• hand-tailored App Script integration

• triggers working each hour and throwing errors

• integrations, or paid solutions.

Connect your Google Sheet once. And it will work.

🗱 Out of the box and FREE

Google implemented this integration and it is FREE.

🗡Caveats while linking data

You may get an error!

Data types in your sheet must remain the same. BigQuery will throw an error if you have a different data type. One missing table may stop your system.

How to know my types are correct:

• Date-time VS dates. Enter a date, and BigQuery will not recognize it as a datetime.

• Boolean VS text. Enter a text in a column with checkboxes, and you'll get an error.