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Practical Data Quality

You're reading from  Practical Data Quality

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781804610787
Pages 318 pages
Edition 1st Edition
Languages
Author (1):
Robert Hawker Robert Hawker
Profile icon Robert Hawker

Table of Contents (16) Chapters

Preface 1. Part 1 – Getting Started
2. Chapter 1: The Impact of Data Quality on Organizations 3. Chapter 2: The Principles of Data Quality 4. Chapter 3: The Business Case for Data Quality 5. Chapter 4: Getting Started with a Data Quality Initiative 6. Part 2 – Understanding and Monitoring the Data That Matters
7. Chapter 5: Data Discovery 8. Chapter 6: Data Quality Rules 9. Chapter 7: Monitoring Data Against Rules 10. Part 3 – Improving Data Quality for the Long Term
11. Chapter 8: Data Quality Remediation 12. Chapter 9: Embedding Data Quality in Organizations 13. Chapter 10: Best Practices and Common Mistakes 14. Index 15. Other Books You May Enjoy

Summary

In this chapter, we covered how to define useful data quality rules, with a tightly defined scope to avoid false positives. We also outlined all the key features of data quality rules in order to explain what information must be captured to document a useful data quality rule design.

We now understand the process that is required to design, develop, and test data quality rules and how good leadership can make a real difference in these technical phases of our work.

Now that we understand the end-to-end process of creating data quality rules, it is time to move on to how the results that these rules produce are presented to stakeholders.

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