Preface
There is too much information; too many plans; it's complicated. We live in a world where there is more and more information that is as problematic as too little information, and I'm aware that this condition applies when people want to start doing data engineering in the cloud, specifically Google Cloud Platform (GCP) in this book.
When people want to embark on a career in data, there are so many different roles whose definitions sometimes vary from one company to the next.
When someone chooses to be a data engineer, there are a great number of technology options: cloud versus non-cloud; big data database versus traditional; self-managed versus a managed service; and many more.
When they decide to use the cloud on GCP, the public documentation contains a wide variety of product options and tutorials.
In this book, instead of adding further dimensions to the data engineering and GCP products, the main goal of this book is to help you narrow down the information. This book will help you narrow down all the important concepts and components from the vast array of information available on the internet. The guidance and exercises are based on the writer's experience in the field, and will give you a clear focus. By reading the book and following the exercises, you will learn the most relevant and clear path to start and boost your career in data engineering using GCP.
