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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

Defining the governance and controls

In Chapter 5, Embedding Data Governance, we discussed the importance of data governance and how we embed those controls alongside the data. We also spoke about how the responsibility of those controls is assigned to the data generators, supported by a central data governance committee through policies, standards, and tooling.

In this section, we’ll look at exactly how we can define the governance and controls in the data contract.

Every data contract must have an owner. This is the data generator, and it is they who take on the responsibilities and accountabilities we discussed in Chapter 4, Bringing Data Consumers and Generators Closer Together.

Depending on your requirements, you might want to embed some of the following in your data contract:

  • The version number of the contract
  • The service-level agreements (SLAs)
  • How to access the data (for example, is the interface a table in a data warehouse, a topic on a stream...
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