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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

Promoting data governance through data contracts

Data contracts are the perfect place to promote data governance. In this section, we’ll explore how you can use data contracts to improve the visibility of data governance, collect up-to-date categorization of data, and provide the tooling and guardrails the data generators need to handle their data effectively.

As mentioned in Chapter 2, Introducing Data Contracts, the contract definition can be extended to capture any metadata we need to ensure we’re handling our data in accordance with our standards. This could include the following:

  • Whether it is personal data.
  • What entity the data relates to (for example, is it about a customer, an order, or another entity?).
  • Who has access to the data, and when that access expires.
  • How the data is classified according to your organization’s policies (for example, is it confidential, secret, or public knowledge?).
  • How long we keep this data for (the...
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