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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

Summary

There’s no doubt that the effective use of data is becoming ever more critical to organizations. No longer is it only expected to drive internal reporting and KPIs, but the use of data is driving key products both internally and externally to customers.

However, while the tools we have available are better than ever, the architecture of the data platforms that underpin all of this have not evolved alongside them. Our data platforms continue to be hampered by a bottleneck that restricts the accessibility of the data. They are unable to provide the reliable, quality data that is needed to those teams who need it when it is needed.

We need to stop working around these problems within the data platform and address them at the source.

We need an architecture that sets expectations around what data is provided, how to use it, and how reliable it will be.

We need a data culture that treats data as a first-class citizen, where responsibility is assigned to those who generate the data.

And so, in the next chapter, we’ll introduce data contracts, a new architecture pattern designed to solve these problems, and provide the foundations we need to empower true data-driven organizations that realize the value of their data.

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