Data science teams are increasingly looking to use Snowflake 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 Snowflake 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 they also provide flexible automation, petabyte scalability, and end-to-end reproducibility.
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.