CSV files are a universal format for storing and sharing structured data.
Renta Marketing ELT seamlessly moves your CSV data into Databricks, enabling fast, automated, and secure analytics workflows.
Empower your team to unlock actionable insights and drive smarter marketing decisions with reliable, up-to-date data.
ETL CSV files data to Databricks
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 the system, including metadata such as file name, size, upload date, and status.
Get File Metadata
Fetches detailed metadata for a specific CSV file, such as schema information, column types, and row count, enabling users to understand the file structure before processing.
Download File
Allows users to download the full contents of a selected CSV file for local analysis or integration with other data pipelines.
Upload File
Enables users to upload new CSV files to the platform, specifying relevant parameters such as file encoding and delimiter.
Delete File
Removes a specified CSV file from the system, including all associated metadata and data records.
Preview Data
Returns a sample of rows from a selected CSV file, allowing users to quickly inspect data quality and structure before further processing.
Use cases
Unlock actionable CSV files insights
- Automate customer churn analysis by importing CSV exports into Databricks dashboards
- Merge offline event CSVs with web analytics for unified campaign ROI insights
- Streamline sales forecasting by processing CSV pipeline data in Databricks
- Enrich product usage reports by blending CSV logs with cloud data sources
- Accelerate compliance audits by centralizing CSV transaction records in Databricks
- Detect anomalies in CSV-based financial data using Databricks machine learning models
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.