Google BigQuery is a powerful cloud-based data warehouse that excels at handling vast amounts of data. But that data probably comes from a variety of sources—and you need a way to easily get it to the right place.
With Zapier’s workflows—we call them Zaps—you can automate data transfers and build seamless connections between BigQuery and thousands of other apps. These workflows not only save time and reduce errors but also ensure your data is always current and easily accessible.
Here’s how you can optimize your BigQuery workflows with automation.
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To get started with a Zap template—what we call our pre-made workflows—just click on the button. It only takes a few minutes to set up. You can read more about setting up Zaps here.
Send notifications for changes in BigQuery
Staying informed about updates in your BigQuery database is crucial for timely decision-making. When you automate notifications, your team is always up to date with current data insights without constant manual checks. Whether you prefer Slack messages or email notifications, these workflows can help keep your team in the loop with minimal effort.
For example, you can set up a Zap to send a Slack channel message for new rows or completed query jobs in your BigQuery database. This keeps relevant team members promptly notified about new data entries, allowing for quick analysis and action. This would be particularly useful for data that needs a quick turnaround, like new leads or customer inquiries.
You can also automatically send an email via Gmail whenever a BigQuery query job is completed. This can be useful if you want to receive more detailed or pre-scheduled queries in your inbox.
Connect almost any app to BigQuery
Webhooks provide a flexible way to connect Google BigQuery with virtually any app—even if they don’t have a Zapier integration—ensuring your data is always synchronized and up to date, no matter which tools your team relies on.
For example, you can set up a Zap to capture incoming webhook data and create a new row in Google BigQuery. Whenever a webhook event is triggered, such as from a form submission or an external system update, that data is instantly recorded in BigQuery, keeping your database current.
You can also use webhooks to automatically send data from Google BigQuery to other apps. This is ideal for pushing data updates to external systems, triggering workflows in other tools, or notifying other tools about changes in your BigQuery database.
Update BigQuery from a form
Forms are a user-friendly way to collect data from a large group of people. But getting that data into your BigQuery database can be a little more unwieldy.
Fortunately, you can keep your database up to date without manual data uploads when you connect your form app to BigQuery with automation. These Zaps help streamline data collection, reduce manual data entry, and ensure your database reflects the latest information in real time.
Track leads and deals in BigQuery
Staying on top of new leads and deals is essential for optimizing your sales and marketing efforts. By automating the flow of data from your lead generation and customer relationship management (CRM) tools to Google BigQuery, you can maintain a comprehensive record of all your marketing and sales processes, making it easier to analyze trends, measure performance, and make data-driven decisions. That way, you can more easily drive drive better business outcomes.
You can also leverage the data in Google BigQuery to enhance your Google Ads campaigns. By setting up Zaps to send offline conversion events or add contacts to customer lists in Google Ads, you can optimize your ad targeting and measure the impact of your marketing efforts more effectively.
Connect BigQuery with a spreadsheet
Not everyone on your team or in your company might have access to BigQuery—but they may still need to add information to your database or get data from it. Or maybe you just like the flexibility of a spreadsheet and want to use it in tandem with your BigQuery databases.
Whatever the reason, connecting BigQuery with spreadsheet tools like Google Sheets, Airtable, and Zapier Tables can enhance your ability to manage and analyze data efficiently.
For example, you can set up a Zap to create a new row in BigQuery each time a new row is added in Google Sheets or when a record is updated in Airtable. This ensures that your BigQuery database is continuously updated with the latest data from your spreadsheets while still allowing your team to work with the tools they’re most comfortable with.
You can also reverse that workflow, keeping your spreadsheets updated with the latest changes from BigQuery.
Streamline data management with BigQuery and Zapier
Connecting Google BigQuery with Zapier opens up many possibilities for enhancing your data workflows and efficiency. Whether you need to send real-time notifications, update your database from form submissions, track leads, or synchronize BigQuery data with spreadsheets, these automations can significantly improve your data management processes.
