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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

Creating libraries for data generators

As well as making it easy for data generators to provision and manage resources, we can also make it easy for them to generate and publish their data to those resources. One way to do that is to supply some client libraries. These can help with data conversion, perform validation checks, or perform custom logic that helps ensure data generated by different services is consistent.

These client libraries are also useful to the consumers of the data, helping with the deserialization of data or the deduction of any custom logic.

You could decide to implement these libraries yourself, using the raw data contract as the input. Alternatively, you can convert the data contract into an open source format and use the existing ecosystem.

That’s what we’ll be doing. In this section, we’ll convert our data contract to JSON Schema (https://json-schema.org) and learn how to use existing libraries to validate our data, as highlighted...

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