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
Table of Contents
Setting Expectations
A framework to define data products to manage tiers of data assets and SLAs for maintenance.
Testing & Monitoring
We build a testing and monitoring framework that that maximises errors caught and minimises alerts.
Ownership & Alerting
Developing scalable ownership and efficient incident management processes to quickly resolve issues.
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
Mikkel Dengsoe
Build with data you can depend on
Join the data teams delivering business-critical impact with SYNQ.