Data contracts are becoming important as organizations move to cloud platforms, data products, and decentralized data ownership. They create clear agreements between data producers and consumers, helping teams reduce broken pipelines, unclear ownership, and trust issues in daily data work. Data Contracts in Action shows how data contracts help establish clear agreements between data producers and consumers, improving trust, reducing operational issues, and creating scalable foundations for modern data ecosystems.
This book takes the reader from the basics of data governance and data quality to the practical use of data contracts in modern data platforms. It explains why governance matters, how data debt grows, and how contracts can define schemas, metadata, validation rules, ownership, and expectations. The readers will learn how to design contract-driven architectures, use standards such as JSON Schema, Avro, Protobuf, YAML, and OpenAPI, apply CI/CD and version control, monitor contract violations, and handle schema evolution.
This book takes the reader from the basics of data governance and data quality to the practical use of data contracts in modern data platforms. It explains why governance matters, how data debt grows, and how contracts can define schemas, metadata, validation rules, ownership, and expectations. The readers will learn how to design contract-driven architectures, use standards such as JSON Schema, Avro, Protobuf, YAML, and OpenAPI, apply CI/CD and version control, monitor contract violations, and handle schema evolution.
What you will learn
● Understand and design contracts that define ownership, schema, and expectations.
● Validate data using JSON Schema, Avro, and Protobuf.
● Automate checks with CI/CD and version control workflows.
● Scale governed data products across teams and platforms.
● Migrate legacy systems, measure outcomes, communicate value, and scale.
Who this book is for
This book is for data engineers, architects, data scientists, ML engineers, cloud developers, governance leaders, and analytics professionals who want to build reliable, governed data pipelines. A basic understanding of databases, data platforms, or data pipelines is recommended, though the material remains practical and accessible.
Table of Contents
1. Data Governance, Evolving Data Platforms, and Key Challenges
2. Data Quality Beyond Perfect Data
3. Introducing and Working with Data Contracts
4. Foundations of a Contract-driven Data Architecture
5. CI/CD and Version Control for Data Contracts
6. Monitoring and Alerting
7. Developing a Data Contract Strategy
8. Adopting Data Contracts in Your Organization
9. Open-source Tools for Data Contracts
10. Reinforcing Governance Through Data Contracts
11. Practical Implementation Examples and Tooling
12. Migrating Existing Systems to Data Contracts
13. Metrics for Data Contract Success
14. Communicating Value and Maintaining Momentum
15. Emerging Trends and Innovations
16. Long-Term Strategy & Continuous Improvement
17. Data Contracts in AI & ML
18. Sustaining a Data Contract Ecosystem
