CSV files are a universal format for storing and exchanging structured data.
Renta Marketing ELT seamlessly transfers your CSV data into Google BigQuery, enabling fast, automated, and secure integration with your analytics workflows.
Unlock deeper marketing insights and empower your team with up-to-date, centralized data for smarter decision-making.
ETL CSV files data to Google BigQuery
Free for 7 days. No credit card required.
Renta ELT is a simple way to create data pipelines in minutes. Not months.
Trusted by teams at
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.
1Connect your source
Select CSV files as your data source and securely authenticate your account to initiate the data extraction process.
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 your Renta workspace, including metadata such as file name, upload date, and file size.
Get File Metadata
Returns detailed metadata for a specific CSV file, such as schema information, column types, and row count, enabling efficient data validation and mapping.
Download File
Provides direct access to download the contents of a selected CSV file, supporting secure and efficient data extraction for downstream processing.
Upload File
Allows users to upload new CSV files into the Renta platform, automatically validating file structure and schema compatibility upon ingestion.
Delete File
Enables the permanent removal of a specified CSV file from the workspace, ensuring data hygiene and compliance with retention policies.
Preview Data
Returns a sample of rows from a selected CSV file, allowing users to quickly inspect data quality and structure before full processing.
Use cases
Unlock actionable CSV files insights
- Import weekly sales CSVs to BigQuery for automated revenue trend analysis
- Merge exported ad campaign CSVs to measure cross-channel ROI in BigQuery
- Upload product inventory CSVs to BigQuery for real-time stock level monitoring
- Integrate customer feedback CSVs to BigQuery to uncover sentiment trends
- Aggregate event CSV logs in BigQuery to optimize user journey mapping
- Sync offline transaction CSVs to BigQuery for unified customer analytics
TEMPLATES
Start quickly with these use case templates
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.