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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

Who this book is for

This book is an essential resource for a broad range of professionals engaged in data transformation and preparation.

It is particularly tailored for Data Engineers, Data Architects, Data Analysts, Data Scientists, and Data Product Owners who have encountered challenges with broken data pipelines or unreliable dashboards and are eager to learn best practices for implementing data observability in their systems.

Furthermore, it’s an invaluable guide for managerial roles such as Heads of Data, Data Platform Managers, and Data Engineering Managers who are accountable for data quality and process optimization. These leaders, responsible for ensuring data quality and streamlining processes, will find valuable methodologies and insights to enhance consumer trust and improve producer engagement within data pipelines.

Whether you’re directly handling data or managing data-focused teams, this book provides essential knowledge and tools to advance data observability in your organization.

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