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 Video Intelligence


The content can easily search labels and discover within the entire video, shot by shot, or per frame. It allows us to identify automatically key points in video content with a massive recommendation library of 20,000 labels. It also returns confidence levels for each entity identified, so it can easily control and filter video content for what’s most relevant. It provides insights on the changes that occurred in a scene or frame, and identifies appropriate locations (either regional or global) in videos to insert ads that are contextually relevant to the video content. It also automatically transcribes video content in English.

The architecture for Cloud Video Intelligence is as follows:

The core components used in this technique are:

  • REST API
  • RPC API
  • Cloud Storage
  • Cloud Endpoints
  • Clients Library
  • IAM

The API has found a variety of applications in:

    • Aircraft
    • Forensic science
    • Automobiles
    • Education
    • Industry robotics
    • Public transportation systems:
      • Eliminating overcrowding
      • Time management...