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

Dialogflow


Dialogflow is an API used to build interactive dialog box communications for mobile applications, websites and other platforms. It uses a natural language context intelligence API to provide quick responses to end users, based on what conversation it is. There are various prebuilt entities used to recognize a user’s intent. It allows the users to build native server-less applications on an integrated code editor; it can be deployed on cloud or on premise. It supports user interaction conversations for cross-platform and as well as multilingual through text and voice. This has separate SLAs and ToS for standard and enterprise editions.

The architecture of Dialogflow is as follows:

The main purpose of this model is to build user interfaces to interact between users and devices of various platforms, through text and voice.

The core components used in this model are:

  • NLP API
  • REST API
  • RPC API
  • Cloud Endpoints
  • Cloud Speech API
  • Cloud Storage
  • Clients Library
  • IoT API
  • Cloud Function for Firebase

The...