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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

Running maintenance operations

Like with every system or tool, Pachyderm might require periodic maintenance, upgrades, and troubleshooting. In the following sections, we will discuss the most important aspects of pipeline maintenance.

Troubleshooting your pipeline

In this section, you will learn how to troubleshoot your pipeline.

Your pipelines might fail for the following reasons:

  • Error in your code: This type of error occurs when something in your code is incorrect, such as a resource is not available or an incorrect value is specified. Fixing this type of error involves troubleshooting your code. You could try to do it locally before testing it inside Pachyderm.
  • Pipeline specification error: This type of error occurs when something is incorrect in the pipeline specification; for example, a pipeline cannot pull the Docker image. This often happens when a wrong image version is specified or there is a network issue.
  • Resource-related error: This type of error...
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