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Cloud Analytics with Google Cloud Platform

You're reading from   Cloud Analytics with Google Cloud Platform An end-to-end guide to processing and analyzing big data using Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839686
Length 282 pages
Edition 1st Edition
Concepts
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Author (1):
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 Thodge Thodge
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Thodge
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Table of Contents (16) Chapters Close

Title Page
Packt Upsell
Foreword
Contributors
Preface
1. Introducing Cloud Analytics FREE CHAPTER 2. Design and Business Considerations 3. GCP 10,000 Feet Above – A High-Level Understanding of GCP 4. Ingestion and Storing – Bring the Data and Capture It 5. Processing and Visualizing – Close Encounter 6. Machine Learning, Deep Learning, and AI on GCP 7. Guidance on Google Cloud Platform Certification 8. Business Use Cases 9. Introduction to AWS and Azure 1. Other Books You May Enjoy 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...

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