Extract Transform & Load Amazon S3 data to Snowflake

Extract, Transform & Load your Amazon S3 data into Snowflake, in minutes, for free, with our reliable & scalable pre-built integrations. No coding or SQL knowledge required. Transform your data to an analytics ready format with post load transformations. Use a DataChannel managed Snowflake data warehouse and reduce your administrative overheads.

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About Amazon S3

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Learn more about Amazon S3.

Choose what data you would like to move from Amazon S3

CSV Data Report

This pipeline can be used to request and retrieve CSV files/folders (consisting similar structured CSV files). The transfer is enabled irrespective of whether CSV files are compressed or not.

JSON Data Report

This pipeline can be used to request and retrieve JSON files/folders (consisting similar structured JSON files). The transfer is enabled irrespective of whether JSON files are compressed or not.

Excel Data Report

This pipeline can be used to request and retrieve Excel files/folders (consisting similar structured Excel files). The transfer is enabled irrespective of whether Excel files are compressed or not.

Learn more about what data can be integrated into your data warehouse using DataChannel in the documentation here.

Steps to Integrate Amazon S3 with Snowflake using DataChannel

  1. From the DataSources section select Amazon S3 as the data source.
  2. Select your added Snowflake data warehouse as the data destination. If you have not yet added a data warehouse, go to Data Warehouse tab and add a warehouse.
  3. Authorize DataChannel to connect to your S3 Bucket account using the + icon with your Access Key, Secret Key, Bucket Name & AWS Location
  4. Click on + Data Pipeline to start adding data pipelines to your account.

Why choose DataChannel for your Amazon S3 and Snowflake data integration

Granular control over pipeline configuration
Advanced scheduling options
Automated handling of source schema changes
Secure credential management with OAuth2
Activity & change history tracking
Real time alerts & failure notifications
Preview data without ever leaving the platform
Extensive documentation & on-screen help
Extensive Logs & complete visibility of pipeline health

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