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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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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

Data observability in the enterprise ecosystem

As we have seen in this chapter, through the context, the synchronization with the process, and the continuous validation of data, data observability manages to ground all the potential that often cannot be expressed with traditional data quality approaches. In this section, in particular, we’ll understand how businesses can take direct advantage of it.

Investments in data quality are becoming more and more huge, as well as the perception that keeping control of data quality is already a critical aspect of the success of a business. This sense of a need for protection is transforming into investments in qualified personnel and, often, in expensive and sophisticated tools that promise to help companies acquire the means and skills necessary to guarantee certified data products on which to make reliable decisions on an ongoing basis.

If, on the one hand, it is true that enthusiasm and attention are growing exponentially, on...

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