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

AutoML


The entire Cloud AutoML platform will help businesses scale up their AI capabilities without requiring advanced machine learning expertise. AutoML enables the end user to experience in learning high-quality NN models. Cloud AutoML Vision is built on GCP transfer learning and neural architecture search technologies. It is a simple, secure, and flexible ML API. Cloud AutoML provides a simple graphical user interface (GUI) to train, evaluate, improve, and deploy models. It is integrated easily with all other APIs of GCP.

 The architecture of AutoML is as follows:

The core components used in the model are:

  • Cloud Storage
  • Cloud Dataflow
  • Cloud Vision API
  • Cloud Image API
  • REST API
  • RPC API
  • Cloud Endpoints
  • BigQuery/BigTable

The applications of this model include:

  • Animation and gaming
  • Digital Commerce
  • Conservation of animals and their habits (London Zoo)
  • Recommendation systems
  • Healthcare and medical
  • Automobiles
  • Home appliances

Note

This method follows a pay-as-you-go pricing policy for its services.

Use case – Listening...