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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 2. Design and Business Considerations FREE CHAPTER 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

Understanding cloud categories

Now, as we have seen the 11 broad categories of the services in GCP, we will try to understand each of them. The following table specifies the different features of these categories:

Cloud category Features

Compute

  • High-performance, scalable VMs
  • Build apps, scale automatically
  • Automated container management
  • Private docker container images
  • Serverless applications on Google's infrastructure
Storage and databases
  • Managed databases
  • Object storage
  • Archival

Networking

  • Worldwide autoscaling and load balancing
  • Manage networking for your resources
  • Highly available global DNS network
  • Fast, high availability interconnect
  • Content delivery network
Big data
  • Analytics data warehouse
  • Batch and stream data processing
  • Managed Hadoop and Spark
  • Powerful data exploration
  • Tell great data stories to support better business decisions
  • Intelligent...
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