Reproducible Data Science with Pachyderm

Chapter 4: Installing Pachyderm Locally

In the previous chapters, we learned about Pachyderm's architecture, the internals of the Pachyderm solution, and version control primitives such as repositories branches, and commits. We reviewed why reproducibility is essential and why it should be a part of a successful data science process. We also learned how to do this on all three major platforms – macOS, Linux, and Windows.

There are many ways and a variety of platforms that enable you to run your end-to-end Machine Learning (ML) workflows using Pachyderm. We will start with the most common and easy to configure local deployment method on your computer; then, in the following chapters, we will review the deployment process on cloud platforms.