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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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Sanket Thodge Sanket Thodge
Author Profile Icon Sanket Thodge
Sanket Thodge
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Table of Contents (11) Chapters Close

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 10. Other Books You May Enjoy

TensorFlow


TensorFlow is an open source software library for numerical computation using data flow graphs. Deep learning in the cloud platform is a new type of service facilitated by all Cloud platforms nowadays. This service can use TensorFlow in Google Cloud Platform, which enables users to develop a quick and easy way of application design, development and deployment. TensorFlow for deep learning research and development applications is used in many domains such as natural language processing, speech recognition and translation, and computer vision and so on. TensorFlow is also used to recommend the user to do quick decision making.

The architecture of the TensorFlow model is as follows:

The following components are used in the TensorFlow model:

  • Cloud TensorFlow
  • Cloud Pub/Sub
  • Cloud Dataflow
  • Cloud Bigtable
  • Cloud BigQuery
  • Google Data Studio
  • Apigee API Platform
  • Cloud Endpoints

The applications of this model include:

  • Automotive
  • Statistics
  • Sentiment analysis in CRM
  • Security
  • Flaw detection
  • Recommendation systems...
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