Automate OneDrive to BigQuery Data Flow

Connect OneDrive to BigQuery to load data from CSV and Excel files to your datasets on a custom schedule without any coding.

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Why integrate Microsoft OneDrive with Google BigQuery

Back up your data

Secure your financial, accounting, and other valuable information by creating a self-updating copy of it. Set up an automated backup of your data stored on OneDrive to BigQuery with just a few clicks. Select a CSV or Excel file from your OneDrive folder and specify the BigQuery table to use as a backup. No coding or programming is required to schedule data exports every day, every hour, or at any other preferred frequency.

Collect data from different files and sources in one place

Blend information from OneDrive with the data stored on other cloud platforms and apps into a single repository. Manipulate and transform the aggregated data using the querying power of BigQuery. Ensure that your repository contains the latest records by enabling the automatic data refresh on the same or different schedules for all your data sources.

Perform advanced analytics

Query thousands or millions of records imported from OneDrive and other sources into BigQuery. Explore its analytical engine to analyze large datasets and extract insights for efficient decision-making. Make predictions using the BigQuery machine learning models and BI engine to build interactive reports and dashboards. Connect OneDrive with BigQuery to automate the data flow at a custom frequency and make sure that your analytics is based on the latest records.

What data you can export from OneDrive to BigQuery

01. CSV files

Extract data from CSV files stored on OneDrive and load it to BigQuery tables. Schedule the data flow up to every 15 minutes to have the up-to-date information imported. A single OneDrive to BigQuery integration allows you to load data from only one CSV file. Set up as many integrations as the number of files you want to export to your BigQuery dataset.

02. Excel files

Connect OneDrive with BigQuery to convert data from Excel files to tables. The automatic data refresh feature will let you automate the extract-transform-load pipeline to avoid manual routine. A single integration can fetch data from one or multiple worksheets and import it into one BigQuery table. Set up as many integrations as the number of separate worksheets you want to import to your dataset.

How to connect OneDrive with BigQuery

Step 1. Select Microsoft OneDrive as a source and BigQuery as a destination.
5 seconds
Step 2. Connect your Microsoft OneDrive account and select a file to export. You also need to select a worksheet if you are exporting data from an Excel file.
20 seconds
Step 3. Connect your BigQuery project and specify the dataset and table to load data.
2 minutes
Step 4. Enable the automatic data refresh and configure a schedule for it.
15 seconds

Why use Coupler.io to connect OneDrive to Excel

Coupler.io allows you to synchronize your CSV or Excel file on OneDrive with another Excel workbook with just a few clicks. You can configure a schedule for automatic syncs and choose the import mode for data transfer. If Excel is your source file, then you can also specify a range of data to move from OneDrive to Excel.

Unlike Workbook Links, the native Excel functionality for linking data, Coupler.io actually imports data from one worksheet to another. This means that the records in the destination worksheet are available in case of any issue with the source Excel file. The OneDrive to Excel integration also allows you to avoid other problems with linking large amounts of data between worksheets such as loss of performance.

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Why use Coupler.io to set up Onedrive to Google BigQuery integration?

Coupler.io does not require you to have coding skills to set up scheduled data flows from OneDrive to BigQuery. With just a few clicks, you can select a CSV or Excel file to be converted into a BigQuery table. You won’t spend hours or even days of your time manually uploading data to BigQuery. Records from a selected file on OneDrive will be transferred automatically to a specified BigQuery table according to the chosen frequency.

Being a user-oriented and user-friendly solution, Coupler.io does not set limits on the number of connected BigQuery projects. You can connect OneDrive with BigQuery projects A, B, C, and many more depending on your needs. This will let you diversify your data flows and make the best of your data manipulation approaches.

All Coupler.io users have BigQuery available as both destination and source. This means that you’re not only able to destinate your data flows into BigQuery, but you can also export queries from it.

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.