Overview

What's inside the book

For many years, data solutions have been developed to make sense of data, and turn ‘stuff’ into actionable information that is fit for purpose. But, as the business changes, the methodology changes, and the understanding of the subject matter changes, these solutions often cannot keep up and become too complex, unwieldy.

A data engine understands and embraces this, it is a data solution that is truly designed for change. The data engine incorporates the critical data interpretation concepts, models, frameworks, and  approaches into an adaptable data solution that follows the business wherever it goes.

Data Engine Thinking - it is the complete approach for delivering a truly flexible, extensible and robust data solution. In this book, we follow FastChangeCo's journey from it's siloed and inflexible data platforms towards a solution that fully meets the business' requirements.

Each chapter starts with a practical explanation of how to design and implement a key component of the solution, and then follows FastChangeCo to experience what this means in the real world.

Q

"This book is a monumental achievement, a classic even before release. I predict this will be as much a landmark of progress and contemporary standards for data warehousing as the Kimball series were 20+ years ago. If you are in the business of storing large volumes of data, and need to integrate sources, this book is for you. If you want to make sense of temporal logic in data, this book is for you, too. Great technical insights, but arguably at least as important are the lessons from the trenches on why some DWH projects succeed, and so many of them struggle. Highest praise I can give, arguably most valuable book on Business Intelligence I ever read."

- Tom Breur -