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Data Warehouse Integration (Experimental)

We’re excited to announce our support for Data Warehouse integration as an experimental feature. We’re seeing increasing numbers of customers and prospects looking to leverage Snowflake for innovative machine learning (ML) projects such as churn analysis or customer lifetime value projections. However, getting the requisite data out of Snowflake, and into data pipelines for experimentation and model training can be challenging. 

Pachyderm’s Data Pipelines make it easy to create flexible ML workflows on top of Snowflake using standard SQL queries. With native integration, automation and petabyte scalability Pachyderm will help your teams iterate faster on datasets in Snowflake, and get ML models to production more quickly, while still providing full reproducibility.

More information can be found in our documentation.