BigQuery is known as one of the best data storage solutions on the market. This is perfect for businesses that need to store huge amounts of data for their projects. As a cloud-based data warehouse, BigQuery allows individuals within enterprises to access various data at the same time, for ultimate collaboration and productivity. However, what happens when businesses would like to transfer this data to an Excel file? Unfortunately, Google cannot integrate BigQuery to Excel files. But that’s where Sheetgo comes in.
Sheetgo’s web application can integrate BigQuery data with various programs, including Excel, so you can receive automatically updated data for business projects. This is great for people who want to use Excel’s analytical tools on their specific BigQuery data sets. In this article, we will use the case study of importing a public BigQuery dataset on the property prices in Brazil into an excel file.
Let’s explore in more detail what BigQuery is and why we should connect it to Excel. Then, we will follow our step-by-step on how to automatically connect your BigQuery data to Excel.
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What is BigQuery?
BigQuery is Google’s cloud-based data storage solution specifically designed for enterprises. BigQuery allows you to query thousands of rows of data within seconds through its high processing power. By integrating with your software, BigQuery allows you to import and analyze huge amounts of data through a live feed so that you can work on up-to-date business projects with ease.
In order to access BigQuery data and connect it to your software, you can simply sign up for an account. You can also opt to pay a flat rate each month. This allows businesses to import and query a set amount of data and carry out simultaneous queries for numerous projects.
Why connect BigQuery to Excel?
Connecting BigQuery to Excel allows users to effectively access their data while also using the analytical features of Excel. Connecting BigQuery and Excel is also important as you can create connections between workflows using any cloud-based file system. This means your data is accessible to everyone, everywhere.
Using our case study, we’d be able to connect this public dataset to an excel file in OneDrive that will continually receive updates on property prices. We’d then be able to use the analytical features of Excel to represent property price averages in different areas of Brazil visually.
- Unlimited rows of data: Unlike many other data connectors, Sheetgo allows you to import unlimited rows of data from your BigQuery account. This is perfect for organizations dealing with multiple, large datasets in one place.
- Cloud-based storage compatibility: Sheetgo’s connections are compatible with the leading cloud-storage solutions, including OneDrive, Google Drive, Dropbox, and SharePoint. This makes your BigQuery data accessible to everyone.
- Build on your workflow: The Sheetgo app helps you build effective workflows between a variety of software applications. No matter what software your team members use, you can form seamless connections in just a few clicks.
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How to connect BigQuery to Excel
In order to show how to connect BigQuery to Excel, we will use the case study from above. Let’s import the public Brazilian property selling data on BigQuery to analyze average property prices across different areas of Brazil.
Here is a step-by-step on how to connect BigQuery to Excel using Sheetgo.
1. On the Sheetgo web app, you can either choose or create a new workflow. Make sure this is labeled clearly. Then, click Create connection.
2. As your source data is from BigQuery, scroll down to the databases section and select BigQuery. If this is your first time connecting BigQuery to Sheetgo, click grant permission to allow integration.
3. Next, you must find your desired data from BigQuery. Select the correct project, dataset name, and table name to start connecting your dataset. By default, it will run a query to return the first 1000 rows of all columns. If you want to learn how to write SQL queries, check out this article on BigQuery syntax.
Once you are happy with this, press continue.
4. Now it’s time to connect this dataset to your destination file. As you can see, Sheetgo gives you the option to select a variety of destinations. In this case, we will choose Excel.
5. You can either create a new Excel file for the data to be imported into or add the data to an existing Excel file.
Here, you can also change the destination of the Root folder (top right-hand side of the pop-up), allowing you to access any of your desired cloud-based storage solutions. For our use case, we’ll choose OneDrive. Make sure you name your Excel file.
Then, press Finish and save.
6. Sheetgo has created an automated workflow to transfer data from BigQuery to Excel.
7. Whenever you need to update your destination file, click Run to execute the workflow.
Alternatively, you can click Automate to schedule automatic transfers. In doing so, Sheetgo will automatically transfer your BigQuery data to Google Sheets at the frequency of your choice.
And there you have it! Sheetgo successfully imports BigQuery datasets to an Excel file in just a few easy steps.
Moreover, Sheetgo’s added benefits of unlimited data and cloud-based storage compatibility help you get the most out of your projects.
Want to learn more about connecting BigQuery data? Read our article How to connect BigQuery to Google Sheets automatically.
Alternatively, for more information on BigQuery and Sheetgo, check out our related articles below!