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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

Organizing Data Teams and Measuring the Success of Data Observability

This chapter is about how to introduce data observability to your team. It describes the different types of data teams, the different types of organizations these teams need to fit into, and how you can measure the success of this initiative.

First, we will analyze the data team, understand its main roles in detail, and analyze the characteristics of each role and the way they work together. It will also be important to understand how these data teams can be organized and how to better organize the data teams to achieve optimum results. We will see that there are different ways to organize a team, all with their advantages and disadvantages. We will analyze these in detail.

We will also see that these data teams are not easy to manage and that the organization depends on several other factors, such as their size, their maturity, and how the entire company is structured. We will also see that certain types of...

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