With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide distinct analytics services to help you get faster insights from your data.
This book will give you an introduction to the concept of analytics on the cloud and the different cloud services popularly used for processing and analyzing data. If you're planning to adopt the cloud analytics model for your business, this book will help you in understanding the design and business considerations to keep in mind, and choose the best tools and alternatives for analytics based on your requirements. The chapters in this book will take you through the 70+ services available on the Google Cloud Platform (GCP) and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on choosing right services required to build an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning.
This book is also covering GCP certification aspect and a chapter is dedicated to give you a boost start in GCP certification preparation. Also, readers who have worked on AWS and Azure can refer to the appendix if they are willing to understand which are the different services in GCP, AWS, and Azure provisioning the same purpose.
By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation.
