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Driving Data Quality with Data Contracts

Driving Data Quality with Data Contracts

By : Andrew Jones
4.8 (11)
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Driving Data Quality with Data Contracts

Driving Data Quality with Data Contracts

4.8 (11)
By: Andrew Jones

Overview of this book

Despite the passage of time and the evolution of technology and architecture, the challenges we face in building data platforms persist. Our data often remains unreliable, lacks trust, and fails to deliver the promised value. With Driving Data Quality with Data Contracts, you’ll discover the potential of data contracts to transform how you build your data platforms, finally overcoming these enduring problems. You’ll learn how establishing contracts as the interface allows you to explicitly assign responsibility and accountability of the data to those who know it best—the data generators—and give them the autonomy to generate and manage data as required. The book will show you how data contracts ensure that consumers get quality data with clearly defined expectations, enabling them to build on that data with confidence to deliver valuable analytics, performant ML models, and trusted data-driven products. By the end of this book, you’ll have gained a comprehensive understanding of how data contracts can revolutionize your organization’s data culture and provide a competitive advantage by unlocking the real value within your data.
Table of Contents (16 chapters)
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1
Part 1: Why Data Contracts?
4
Part 2: Driving Data Culture Change with Data Contracts
8
Part 3: Designing and Implementing a Data Architecture Based on Data Contracts

Preface

Hello, and welcome to Driving Data Quality with Data Contracts! I’m excited to share with you everything I’ve learned about how data contracts solve some of the age-old problems we have in our data architectures, where, despite huge investments, we rarely have easy access to good-quality data that can be used to drive real business value.

This book and the ideas behind it have been three years in the making. It was in August 2020 when I started thinking about the problems I wanted to solve at GoCardless and started calling my solution data contracts, before writing about them publicly for the first time in April 2021, and describing our implementation in December 2021. Since then, they’ve really taken off, with countless articles, presentations, and podcasts around the subject.

Over that time, I’ve been lucky enough to have the opportunity to speak to many people in the data community, at organizations large and small, and through those discussions I have found that while, for each of us, our data is unique, our problems are not! In fact, they’re universal.

Data contracts solve these problems in two ways. The first is the implementation of a contract-backed architecture, which empowers the creation, management, and use of quality data through self-served, autonomous tooling.

The second is by changing our data culture to one where data is generated explicitly to meet use cases, where data generators and data consumers work closely together as partners, and where we focus on the quality of our data, not the quantity.

These go together, and both are required if we’re going to achieve our goal of driving a truly data-driven organization that creates real business value through the effective use of quality data.

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