How to Import CSV data into BigQuery | No coding required
In this video, Piotr shows how to quickly import CSV into BigQuery without coding.
He explains how to automate loading data from a CSV file to BigQuery by setting up an automatic data refresh to update information in the BigQuery table on an hourly basis.
How it works
In less than five minutes, you will understand how to upload a CSV document to BigQuery by following this instruction:
✅ Sign up for Coupler.io (no credit card is required) https://bit.ly/2WatMJm
✅ Select CSV as a data source and provide its URL.
✅ Choose BigQuery as a data destination, connect its account with a JSON file. Specify a dataset and table where to import data to.
✅ Schedule data refresh: specify the interval, time of the day, and day of the week when your integration should update data in a specified BigQuery table.
What is Coupler.io?
Coupler.io is software that allows you to sync data between different apps on a schedule and with no coding required.
To see the complete list of currently available:
Google Sheets integrations, visit https://bit.ly/2RXLXzM
BigQuery integrations, visit https://bit.ly/2RE3X1T
MS Excel integrations, visit https://bit.ly/3gNxjVz
To learn more about our free trial and subscription plans, check out https://bit.ly/2W5N0Qy
Prefer reading articles rather than watching videos?
Check out the following blog posts:
✅ How to Automatically Import CSV Data into Google Sheets: https://bit.ly/3mc6Lk7
✅ How to Sync your CSV File on OneDrive or Dropbox with Google Sheets: https://bit.ly/3AQtk1O
✅ Import CSV from Google Drive to Google Sheets: https://bit.ly/37S6men
Got questions?
For more information, visit:
✅ Coupler.io website: https://www.coupler.io/
✅ Coupler.io Help Center: https://help.coupler.io/
✅ Contact email: [email protected]
Stay tuned!
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