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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Google Sheets to Google BigQuery

ETL Google Sheets data to Google BigQuery

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Google Sheets is a widely used tool for managing and collaborating on marketing and business data.
Renta Marketing ELT seamlessly transfers your Google Sheets data to Google BigQuery, enabling advanced analytics and real-time insights for your team.
Enjoy automated, secure, and reliable data integration designed for marketing and analytics professionals.

Set up your ELT pipeline in 3 simple steps

Select Google Sheets as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Sheets as the data source in Renta.
1Connect your source

Select Google Sheets as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Sheets as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Google Sheets API

Renta supports 6 methods of data export using the Google Sheets API.

spreadsheets.create

Creates a new spreadsheet, allowing users to define the initial structure and metadata for a Google Sheets document.

spreadsheets.get

Retrieves the metadata, structure, and content of a specified spreadsheet, including sheets, ranges, and formatting details.

spreadsheets.values.get

Fetches the values from a specific range of cells within a spreadsheet, enabling data extraction for analysis or integration.

spreadsheets.values.update

Updates the values in a specified range of cells, supporting data modification and synchronization workflows.

spreadsheets.values.append

Appends new rows of data to the end of a specified sheet or range, commonly used for incremental data loading.

spreadsheets.batchUpdate

Performs multiple updates to the spreadsheet structure or content in a single request, such as adding sheets, modifying cell formats, or resizing columns.

Use cases

Unlock actionable Google Sheets insights

  • Sync Google Sheets budgets with BigQuery to track campaign ROI in real time
  • Aggregate survey responses from Sheets for instant trend analysis in BigQuery
  • Automate sales pipeline updates from Sheets to BigQuery for live performance dashboards
  • Enrich BigQuery datasets with manual lead data entered in Google Sheets
  • Visualize marketing spend from Sheets alongside web analytics in BigQuery
  • Validate and cleanse Sheets data at scale using BigQuery SQL queries
Start free trialNo credit card required
Use cases: Google Sheets and Google BigQuery integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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