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Driving Data Quality with Data Contracts

You're reading from  Driving Data Quality with Data Contracts

Product type Book
Published in Jun 2023
Publisher Packt
ISBN-13 9781837635009
Pages 206 pages
Edition 1st Edition
Languages
Author (1):
Andrew Jones Andrew Jones
Profile icon Andrew Jones

Table of Contents (16) Chapters

Preface 1. Part 1: Why Data Contracts?
2. Chapter 1: A Brief History of Data Platforms 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

A Sample Implementation

In this chapter, we’ll walk through a sample implementation of data contracts. We’ll use it to illustrate the concepts we have been learning about throughout the book and put what we have learned into practice.

We’ll start by creating a YAML-based interface for the data generator to use to create a data contract. Then, using that data contract as the foundation, we’ll provide a few examples of how we can use it to drive our contract-driven architecture.

Firstly, we’ll create a table in our BigQuery data warehouse from the data contract, with a matching schema that will stay in sync with the contract as it evolves. We’ll also introduce an Infrastructure as Code (IaC) tool to help us build this. Then we’ll look at how we can create libraries for the data generators to aid the generation of data that matches the contract and conforms to the data quality checks we have defined in the contract.

Next, we’...

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