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Data Observability for Data Engineering

You're reading from   Data Observability for Data Engineering Proactive strategies for ensuring data accuracy and addressing broken data pipelines

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781804616024
Length 228 pages
Edition 1st Edition
Languages
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Authors (2):
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Michele Pinto Michele Pinto
Author Profile Icon Michele Pinto
Michele Pinto
Sammy El Khammal Sammy El Khammal
Author Profile Icon Sammy El Khammal
Sammy El Khammal
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Introduction to Data Observability
2. Chapter 1: Fundamentals of Data Quality Monitoring FREE CHAPTER 3. Chapter 2: Fundamentals of Data Observability 4. Part 2: Implementing Data Observability
5. Chapter 3: Data Observability Techniques 6. Chapter 4: Data Observability Elements 7. Chapter 5: Defining Rules on Indicators 8. Part 3: How to adopt Data Observability in your organization
9. Chapter 6: Root Cause Analysis 10. Chapter 7: Optimizing Data Pipelines 11. Chapter 8: Organizing Data Teams and Measuring the Success of Data Observability 12. Part 4: Appendix
13. Chapter 9: Data Observability Checklist 14. Chapter 10: Pathway to Data Observability 15. Index 16. Other Books You May Enjoy

Implementing data observability in a project

In this section, we will learn how to implement data observability at scale in an organization, using the technical roadmap presented in the first part of this chapter.

Here, we will provide a macro view, at the organization level, of how observability will be progressively adopted. For the micro level, which includes inside a project, pipeline, or data product, please refer to Part 2 – Implementing Data Observability.

We will consider a company called PetCie, a pet store company that’s active in five countries and produces and sells dog food to resellers.

This company currently has three projects:

  • Sales reporting: A financial dashboard that’s used by the CFO so that they can follow the day-to-day sales to the resellers. This report is the outcome of a Tableau dashboard that’s linked to a PostgreSQL table and fed by a Spark application. They plan on changing Tableau into a Qlik process this quarter...
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