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

Pachyderm is the data pipeline tool to enable reproducible machine learning with BigQuery data.

Pachyderm data versioning integrates natively with BigQuery

 

Data science teams are increasingly looking to use BigQuery 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 BigQuery 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.

Concept diagram of how Pachyderm enables Reproducibility in ML workflows for BigQuery data

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About Pachyderm

Pachyderm provides industry-leading data versioning, pipelines, and lineage that allow data science teams to automate the machine learning lifecycle and optimize their machine learning operations (MLOps).

With investment from Benchmark, Microsoft M12, and others, Pachyderm, Inc. offers a user deployed Pachyderm Enterprise Edition, a hosted SaaS Pachyderm Hub, and an open-source Pachyderm Community Edition.

Pachyderm helps customers get their ML and AI projects to market faster, lower data processing and storage costs, and supports strict data governance requirements through data-driven automation, petabyte scalability, and end-to-end reproducibility.