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Building Data Science Workflows on RedShift

Want to quickly develop reproducible data science workflows on top of RedShift?

Data science teams are increasingly looking to use RedShift for innovative machine learning (ML) applications. However, finding data pipelining solutions that are easy to adopt, and support best practices like versioning and reproducibility can be challenging.

Pachyderm provides data science pipelines that natively connect to RedShift and allow you to execute long-running ML data processes, all the while providing automated versioning and lineage. Pachyderm data science pipelines not only integrate seamlessly using just standard SQL queries, but also provide flexible automation, petabyte scalability, and end-to-end reproducibility.

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