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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

Who is a consumer, and who is a generator?

We’ve spoken a lot about the consumers and generators of data in this book, but what exactly do people in these roles do? What do they care about? What are their requirements, and what are their expectations?

In the following subsections, we’ll look at both roles in more detail, starting with the data consumers.

Data consumers

A data consumer is a person, a team, or a service that consumes data to inform and/or take some action. Typically, we think of data consumers as a data practitioner – for example, a data engineer, a BI analyst, or a data scientist. Their primary tasks require them to consume and work with data, and as such, they are highly reliant on the quality and dependability of that data.

However, they are not the only data consumers in your organization. There are an increasing number of people who are not data practitioners but are data literate. They are comfortable using a data analysis tool...

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