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Why export Dropbox to BigQuery
Make a backup copy
Back up your CSV and Excel files stored on Dropbox by transferring data into BigQuery. Use a Dropbox - BigQuery integration that will automatically extract, transform, and load records to the chosen dataset. Configure the ETL pipeline without any coding skills and with just a few clicks by setting up the source, destination, and schedule. Enable the automatic data refresh to make your backup copy self-updating every day or at another frequency.
Organize data from multiple sources in one repository
Load data from Dropbox to BigQuery, where you can blend it with the records imported from CRM software, accounting tools, and other sources. Use BigQuery as a repository for your information that you can extract from different sources using Coupler.io and other tools. Configure the automatic data refresh to ensure that your repository contains up-to-date records without any manual effort.
Analyze and investigate your data
Load your data from Dropbox files to BigQuery for advanced analytics that allow you to get decision-making insights. Run interactive and batch queries to analyze large datasets, execute machine learning models, and build rich dashboards. With the imported data, you can use BigQuery as a data source to connect to powerful data visualization tools, such as Google Data Studio.
What data you can load with Dropbox BigQuery integration
Convert the raw data from your CSV files to BigQuery tables. Each Dropbox - BigQuery integration allows you to export one CSV file to BigQuery. Configure as many integrations as the number of CSV files stored in your Dropbox folder. Schedule a set of data to BigQuery on a custom schedule that you want.
Connect worksheets from Excel files stored on Dropbox to your BigQuery dataset. You can import each sheet of your XLSX file to separate tables or merge multiple sheets into one table. To export an entire Excel file, you’ll need to set up as many integrations as the number of tabs in the file.
How to connect Dropbox to BigQuery
Step 1. Select Dropbox as a source application, then connect your Dropbox account25 seconds
Step 2. Select a CSV or Excel file on Dropbox. If you are exporting data from an Excel file, also select the tab or multiple tabs with the data10 seconds
Step 3. Select BigQuery as a destination application and connect your BigQuery project2 minutes
Step 4. Specify the dataset and table to load the data from Dropbox20 seconds
Step 5. Configure the schedule for automatic data refresh and run the integration to load data15 seconds
With Coupler.io, you can automate data replication from Dropbox to BigQuery every hour with a few clicks. Select and configure the source CSV or Excel file on Dropbox and connect the BigQuery project to where you’re going to load data to. Enable automatic data refresh and choose Every Hour as the Interval for updates. The integration will automatically import data from Dropbox to BigQuery every hour.
Coupler.io allows you to connect multiple projects for your account. This means that you can set up separate Dropbox to BigQuery integrations for different BigQuery projects. For example, project X will only be integrated with the CSV files stored on Dropbox, and project Y will host the data from the Dropbox Excel files.
See what our customers say
"Coupler.io automatically imports the full dataset you need and it refreshes it completely on any schedule you want. No triggers necessary. And the best of all, the team is very supportive.
"The integrations are easy to set up and automate, my colleagues think I'm a genius, but it's really Coupler.io that is doing the heavy lifting.
Set up multiple integrations to count on every day
Looking to import data from Shopify, Clockify, Jira, or any other app? Not a problem. Use Coupler.io to link a data source to BigQuery to automate workflows and leverage the power of spreadsheets across all your projects!