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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

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801074483
Length 364 pages
Edition 1st Edition
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Author (1):
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Svetlana Karslioglu Svetlana Karslioglu
Author Profile Icon Svetlana Karslioglu
Svetlana Karslioglu
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Table of Contents (16) Chapters Close

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

Chapter 2: Pachyderm Basics

Pachyderm is a data science platform that enables data scientists to create an end-to-end machine learning workflow that covers the most important stages of a machine learning life cycle, starting from data ingestion all the way into production.

If you are familiar with Git, a version control and life cycle system for code, you will find many similarities between the most important Git and Pachyderm concepts. Version control systems such as Git and its hosted version GitHub have become an industry standard for thousands of developers worldwide. Git enables you to keep a history of changes in your code and go back when needed. Data scientists deserve a platform that will let them track the versions of their experiments, reproduce results when needed, and investigate and correct bias that might crawl into one of the stages of the data science life cycle. Pachyderm provides benefits similar to Git that enable data scientists to reproduce their experiments...

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