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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

Summary

In this chapter, we learned about all the parameters you can specify in a Pachyderm pipeline, how to optimize it, and how to configure the transformation section. The pipeline specification is the most important configuration attribute of your pipeline as you will use it to create your pipeline. As you have learned, the pipeline specification provides a lot of flexibility regarding performance optimization. While it may be tricky to find the right parameters for your type of data right away, Pachyderm provides a lot of fine-tuning options that can help you achieve the best performance for your ML workflow.

In the next chapter, you will learn how to install Pachyderm on your local computer.

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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