Automate Dropbox to BigQuery Data Flow

Integrate Dropbox to BigQuery with just a few clicks to transfer your data stored in CSV and Excel files to BigQuery tables every day, every hour, or at other custom frequencies.

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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

01. Comma-separated values

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.

02. Data in XLSX format

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 account
25 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 data
10 seconds
Step 3. Select BigQuery as a destination application and connect your BigQuery project
2 minutes
Step 4. Specify the dataset and table to load the data from Dropbox
20 seconds
Step 5. Configure the schedule for automatic data refresh and run the integration to load data
15 seconds

Why use Coupler.io to integrate Dropbox with BigQuery

Coupler.io allows you to create ETL pipelines between Dropbox and BigQuery. You can connect your CSV or Excel file stored on Dropbox and configure the automatic data import to a BigQuery table. No manual upload of CSV files is needed anymore. Set up a Dropbox BigQuery integration to automate data transfer and get the latest records to your table on a schedule.

Enjoy the no-code solution to facilitate your analytics in BigQuery. With just a few clicks, you will be able to configure the source and destination of your ETL pipeline. You can load data on-demand or enable automatic data refresh to update the data on a schedule. The available frequencies range from every day to every 15 minutes.

Coupler.io also provides you with the feature of changing the import mode depending on your analytical tasks. At the replace mode, the importer fully replaces the table with the newly imported data. At the append mode, the newly imported data is appended below the previously imported records. This will let you accumulate a log of records to track historical data changes.

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How can I automate Dropbox replication to BigQuery every hour?

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.

Can I export Dropbox files to different BigQuery projects?

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.