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Driving Data Quality with Data Contracts

You're reading from   Driving Data Quality with Data Contracts A comprehensive guide to building reliable, trusted, and effective data platforms

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781837635009
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Andrew Jones Andrew Jones
Author Profile Icon Andrew Jones
Andrew Jones
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Why Data Contracts?
2. Chapter 1: A Brief History of Data Platforms FREE CHAPTER 3. Chapter 2: Introducing Data Contracts 4. Part 2: Driving Data Culture Change with Data Contracts
5. Chapter 3: How to Get Adoption in Your Organization 6. Chapter 4: Bringing Data Consumers and Generators Closer Together 7. Chapter 5: Embedding Data Governance 8. Part 3: Designing and Implementing a Data Architecture Based on Data Contracts
9. Chapter 6: What Makes Up a Data Contract 10. Chapter 7: A Contract-Driven Data Architecture 11. Chapter 8: A Sample Implementation 12. Chapter 9: Implementing Data Contracts in Your Organization 13. Chapter 10: Data Contracts in Practice 14. Index 15. Other Books You May Enjoy

Bringing Data Consumers and Generators Closer Together

In this chapter, we’ll look at the importance of bringing data consumers and generators closer together and why that is one of the key objectives when adopting data contracts. It’s only by being clear on the roles and responsibilities that these two groups of people can work effectively and efficiently to realize our goal of extracting the most business value from our data. Therefore, we’ll start by defining these roles and what each of those roles expect from the other, before being explicit about the responsibilities and accountabilities of each role.

Next, we’ll discuss a data consumer that is often overlooked – the product engineering teams. They are maybe the most important consumers in your organization and yet, like other consumers, are often unable to rely on the data that is generated. This leads to unreliable services or the inability to use the valuable data generated in other parts...

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