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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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Toc

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

Amazon Web Services


We will now have a look at the primary services that AWS provides.

Compute

I am now going to explain the different services in the Compute category offered by AWS:

  • AWS EC2: Secure and resizable virtual machines on the cloud
  • AWS EC2 Auto Scaling: Updates compute capacity as per the requirement
  • Amazon Elastic Container Service: Assists in running containerized applications on cloud
  • AWS Lambda: Runs code without any infrastructure concerns you pay for compute only
  • Elastic Load Balancing: Achieves scalability, performance, and security to make an application fault-tolerant

Storage

I am now going to explain the different services in the Storage category offered by AWS:

  • Amazon S3: Object storage on the cloud with global reach
  • Amazon EBS: Provides persistent block storage for virtual machines in EC2
  • Amazon EFS: File storage on AWS—simple, scalable, and reliable
  • Amazon Glacier: Archives your data for long-term, secure, and durable features
  • AWS Storage Gateway: Seamless local integration to...
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