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Announcing Pachyderm 1.10
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Announcing Pachyderm 1.10

We spent 2019 on the road, going to conference after conference and talking to thousands of data scientists, developers, and MLOps engineers. But more than anything, we listened. We wanted to know the struggles and challenges that data science teams face every day. After listening to various use-cases and learning about their struggles to make things work, we continue to see that data science is not owned by individual contributors; it’s a collective responsibility. Pachyderm was always a platform focused deeply on collaboration but with version 1.10 we looked to build on that rock-solid foundation and make collaboration a way of life from end to end.

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Previous Posts
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Is Automl Real or a Dream in 2020?

AutoML promises to make AI easy for non data scientists but is that a reality in 2020 or just a dream?

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Pachyderm 1.10 adds integration support for JupyterHub

Pachyderm 1.10 - Support for Jupyterhub

Pachyderm 1.10 makes it super easy to connect with JupyterHub. Seamless Single Sign On and a smoothly scripted way to deploy Hub and Pachy together will have your data science team more productive than ever.

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Pachyderm 1.10 adds support for Kubeflow

Pachyderm 1.10 - S3 Gateway Expansion & Kubeflow Support

Pachyderm 1.10 delivers Kubeflow support you can count on. Leverage Pachyderm’s powerful data lineage platform with TFJobs (or any other Kubeflow run) directly within the Kubeflow ecosystem.

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A quick intro to the Pachyderm Shell.

Pachyderm 1.10 - Introducing Pachyderm Shell

Data science is hard enough without having to pick up a complicated new command line. With the 1.10 release, we give you Pachyderm Shell, delivering time-saving auto-completion, combined with helpful suggestions displayed right in the prompt.

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Scale18x

Smashing Bias with Dynamic Data Versioning

Watch our talk on how to get rid of bias using Pachyderm at the SCALE18x conference.

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