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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

Executing data operations

As you have probably already noticed, to get started working with Pachyderm, you need to put data into it. Then, data is transformed through a number of transformation steps. After that, you can export your data and models to an outside source in a form of libraries, binaries, packages, tables, dashboards, or any other format for further use. In this section, we will review the ways to upload and download data to and from Pachyderm and all the native Pachyderm modifications that can be applied during this process.

Let's begin with uploading data to Pachyderm.

Uploading data to Pachyderm

You can divide data sources that ingest data into Pachyderm into the following categories:

  • From a local filesystem
  • From a URL
  • A remote object or block storage
  • A streaming or messaging platform

In this section, you will likely mostly use your local filesystem to upload data to Pachyderm repositories. This can be done with a simple Pachyderm...

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