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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

Migrating to data contracts

Now we’ve proved the concept of data contracts and started delivering some value, let’s look at how to migrate the rest of our data assets to data contracts.

We’ll need to come up with a migration plan that balances the need to complete this migration in a reasonable amount of time, so we can decommission our legacy platform and tools, against the needs of product teams to deliver against their existing roadmaps and commitments.

Unfortunately, there is no perfect way to do this, and the approach you take will highly depend on your organization and its objectives.

One good approach is to ask your key data consumers (typically data/analytics engineers and data scientists) to work together and prioritize the datasets most critical to them. This could take the form of a working group, where a few people from each team will work together on this exercise. There’s likely to be a lot of overlap, as those teams and other data...

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