Book Image

Cloud Analytics with Google Cloud Platform

By : Sanket Thodge
Book Image

Cloud Analytics with Google Cloud Platform

By: Sanket Thodge

Overview of this book

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 their 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 understand the design and business considerations to be kept 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 in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning. 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
Table of Contents (16 chapters)
Title Page
Packt Upsell
Foreword
Contributors
Preface
Index

Cloud migration checklist


You have to make sure that the following aspects are in place while going ahead with cloud migration:

  • Influence on business: You shouldn't begin the migration procedure with mission critical applications for the business. In the event that the business is a retail business, you shouldn't move internet business straight away. Or maybe, you should gain more understanding of cloud by first moving less critical supporting applications (for example, departmental applications, email servers, intranets, and so forth) to cloud.
  • Deployment environments: Clearly you will initially think about your less critical environments (for example, development environments and test environments), yet ensure you think about the production environment when you configure your test environment particularly. We prescribe you to utilize the very same configuration for test environments that your production environment will use.
  • Significance of performance: You shouldn't consider environments...