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Reproducible Data Science with Pachyderm

You're reading from Reproducible Data Science with Pachyderm Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781801074483

Length 364 pages

Edition 1st Edition

Languages

Go

Tools

GitHub

Concepts

Data Science

Author (1):

Svetlana Karslioglu

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: Introduction to Pachyderm and Reproducible Data Science

2. Chapter 1: The Problem of Data Reproducibility FREE CHAPTER

3. Chapter 2: Pachyderm Basics

4. Chapter 3: Pachyderm Pipeline Specification

5. Section 2:Getting Started with Pachyderm

6. Chapter 4: Installing Pachyderm Locally

7. Chapter 5: Installing Pachyderm on a Cloud Platform

8. Chapter 6: Creating Your First Pipeline

9. Chapter 7: Pachyderm Operations

10. Chapter 8: Creating an End-to-End Machine Learning Workflow

11. Chapter 9: Distributed Hyperparameter Tuning with Pachyderm

12. Section 3:Pachyderm Clients and Tools

13. Chapter 10: Pachyderm Language Clients

14. Chapter 11: Using Pachyderm Notebooks

15. Other Books You May Enjoy

Technical requirements

Whether you are on macOS, Windows, or Linux, you need to install the following tools:

Homebrew
The Kubernetes CLI; that is, via kubectl
Helm
minikube
Docker Desktop (as an alternative to minikube)
The Pachyderm CLI; that is, via pachctl
Windows Subsystem for Linux (WSL) for Windows installations

We will get into the specifics of installing and configuring these tools as we go through this chapter. If you already know how to do this, you can go ahead and set them up now.

The rest of the chapter is locked

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Authors (1)

Svetlana Karslioglu

Svetlana Karslioglu

Svetlana Karslioglu is a seasoned documentation professional with over 10 years of experience in top Silicon Valley companies. During her tenure at Pachyderm, she authored much of the open source documentation for Pachyderm and was also in charge of the documentation infrastructure. Throughout her career, she has spoken at local conferences and given talks advocating for open infrastructure and unbiased research in artificial intelligence. When Svetlana is not busy writing books, she spends time with her three children and her husband, Murat.

See other products by Svetlana Karslioglu

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