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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 Amazon Redshift

ETL CSV files data to Amazon Redshift

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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 sharing structured data.
Renta Marketing ELT seamlessly transfers your CSV data to Amazon Redshift, automating every step and ensuring your analytics are always up to date.
Empower your team with fast, reliable, and secure data integration for smarter marketing 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 7 methods of data export using the CSV files API.

List Files

Retrieves a list of all available CSV files stored in the 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, column types, row count, and last modified timestamp.

Download File

Enables secure download of a selected CSV file, allowing clients to access and process raw data as needed.

Upload File

Allows users to upload new CSV files to the platform, supporting data ingestion workflows and automated ETL processes.

Delete File

Removes a specified CSV file from the platform, ensuring data lifecycle management and compliance with retention policies.

Preview Data

Provides a sample of the data contained in a CSV file, typically the first few rows, to help users validate structure and content before processing.

Update File Metadata

Enables modification of metadata attributes for a specific CSV file, such as tags or descriptions, to improve data organization and discoverability.

Use cases

Unlock actionable CSV files insights

  • Import campaign results from CSV to Redshift to measure ROI across marketing channels
  • Sync offline sales data via CSV to Redshift for unified revenue analytics
  • Aggregate product inventory CSVs in Redshift to optimize supply chain decisions
  • Load customer feedback CSVs into Redshift to uncover trends and sentiment insights
  • Merge event registration CSVs with Redshift data to track attendee engagement
  • Integrate partner sales CSVs into Redshift for accurate commission calculations
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Use cases: CSV files and Amazon Redshift integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
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Automate extraction from 100+ connections. 99.9% Uptime SLA.

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