Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781837635009
Length 206 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Andrew Jones Andrew Jones
Author Profile Icon Andrew Jones
Andrew Jones
Arrow right icon
View More author details
Toc

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

A Contract-Driven Data Architecture

In the previous chapter, we saw exactly what makes up a data contract. In this chapter, we’re going to build on that by looking at how we can use the data contract to drive our data architecture. We’ll introduce the concept of a contract-driven data architecture and show how powerful this can be. We believe this is a step-change in how we build data platforms, and we’ll discuss the many benefits we get when adopting this architecture pattern.

As part of that discussion, we’ll introduce the three principles that unlock those benefits: autonomy, guardrails, and consistency, and you’ll learn how those principles benefit the data generators, the data consumers, and the organization. To promote autonomy, we need to provide tooling that can be self-served by the data generators. We’ll finish this chapter by looking at why that is important and show an example of how to achieve it.

By the end of this chapter...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image