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    • 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

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      Stories on how to use customer data for company growth

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

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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
CSV files to Google Cloud Storage

ETL CSV files data to Google Cloud Storage

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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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CSV files are a universal format for storing and exchanging structured data.
Renta Marketing ELT seamlessly transfers CSV files from Google Cloud Storage to your analytics platform, ensuring fast, secure, and consistent data integration.
Empower your team with reliable, up-to-date insights for smarter marketing and business decisions.

Set up your ELT pipeline in 3 simple steps

Select CSV files as your data source and securely authenticate your account to initiate the data extraction process.

Selecting CSV files as the data source in Renta.
1Connect your source

Select CSV files as your data source and securely authenticate your account to initiate the data extraction process.

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

Renta supports 6 methods of data export using the CSV files API.

List Files

Retrieves a list of all available CSV files stored in the Renta platform, including metadata such as file name, size, upload date, and status.

Get File Metadata

Returns detailed metadata for a specific CSV file, such as schema information, column types, row count, and last modified timestamp.

Download File

Enables secure download of a selected CSV file, allowing users to access raw data for further processing or integration.

Upload File

Allows users to upload new CSV files to the platform, supporting validation of file structure and schema before ingestion.

Delete File

Removes a specified CSV file from the platform, ensuring that obsolete or sensitive data can be securely deleted.

Preview File Data

Provides a sample of rows from a CSV file, enabling users to quickly inspect data quality and structure before full processing.

Use cases

Unlock actionable CSV files insights

  • Automate daily uploads of sales CSVs to Google Cloud for unified reporting dashboards
  • Sync marketing campaign CSV exports to GCS for cross-channel ROI analysis
  • Archive historical transaction CSVs in GCS for secure, scalable compliance storage
  • Feed product inventory CSVs from GCS into BI tools for real-time stock insights
  • Share customer feedback CSVs via GCS for collaborative sentiment analysis
  • Integrate lead CSVs in GCS with CRM systems to accelerate sales pipeline updates
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Use cases: CSV files and Google Cloud Storage 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.

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  • Marketing ETL
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Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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