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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

When to use data contracts

Now we have a good understanding of what data contracts are and how they solve the problems we saw in Chapter 1, A Brief History of Data Platforms, how do we know when is a good time to adopt data contracts in an organization?

Firstly, it depends on how your organization is using or wants to use its data. As discussed in the previous chapter, many organizations are starting to use data in more business-critical processes or in products they build for their customers. The ability to build these products quickly and effectively depends on the accessibility of easy-to-use, quality data, and data contracts help with the production of that data.

Then, once these data-driven applications are released, data contracts help ensure they stay performant and dependable by tracking the SLOs of the data and managing the evolution of that data, preventing breaking changes that impact downstream consumers.

Even if your organization is not ready to use data for critical...

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