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The Definitive Guide to Building Data Products

A must-read book for data-professionals building analytical data products that power business-critical applications.

Foreword

Building data products is complex. Scaling them to meet business needs is even more challenging. The Definitive Guide to Data Products is a practical guide designed to help teams design, build, deploy, and operate products that power critical workflows.

Whether you're a data engineer, analytics manager, or part of a broader data team, Building Reliable Data Products offers the insights and clear framework to build data systems that reliably drive meaningful business value.

— Petr Janda, CEO & founder of SYNQ

Chapter 1

The Reliability Challenge

Outlining the clear relationship between data reliability and business impact.

Chapter 2

Setting expectations

A framework to define data products to manage tiers of data assets and SLAs for maintenance.

Chapter 3

Proactive Testing & Monitoring

We build a testing and monitoring framework that that maximises errors caught and minimises alerts.

Chapter 4

Ownership with rapid response

Developing scalable ownership and efficient incident management processes to quickly resolve issues.

Chapter 5

Continuous Improvement

Establishing feedback loops and learning processes to continuously enhance data reliability practices.

About the Authors

After leading data and software teams at Google, GWI, Pleo, and Monzo we have seen what it takes to deliver data products that have profound impact on the business and can't fail. We've accumulated countless learnings and best practices that we're transforming into a framework to build more reliable data products.

Petr Janda

CEO @ SYNQ

Mikkel Dengsoe

Chief Evangelist @ SYNQ

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