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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

To get the most out of this book

You will need to have the latest Pachyderm version installed on your computer. All operations were tested using Pachyderm 2.0 on macOS. However, they should work with future version releases too. If you are on Windows, all operations must be performed in Windows Subsystem for Linux (WSL).

You will need to request an enterprise version of Pachyderm to use the Pachyderm Console. Pachyderm provides a free trial license for first-time users. However, most examples will work without an enterprise license. To test Pachyderm Notebooks in Chapter 11, Using Pachyderm Notebooks, you will need to create a Pachyderm Hub account.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book's GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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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