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Google Cloud Platform for Architects

You're reading from   Google Cloud Platform for Architects Design and manage powerful cloud solutions

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Length 372 pages
Edition 1st Edition
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Authors (3):
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Loonycorn Ravi Loonycorn Ravi
Author Profile Icon Loonycorn Ravi
Loonycorn Ravi
Judy Raj Judy Raj
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Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Table of Contents (19) Chapters Close

Preface 1. The Case for Cloud Computing FREE CHAPTER 2. Introduction to Google Cloud Platform 3. Compute Choices – VMs and the Google Compute Engine 4. GKE, App Engine, and Cloud Functions 5. Google Cloud Storage – Fishing in a Bucket 6. Relational Databases 7. NoSQL Databases 8. BigQuery 9. Identity and Access Management 10. Managing Hadoop with Dataproc 11. Load Balancing 12. Networking in GCP 13. Logging and Monitoring 14. Infrastructure Automation 15. Security on the GCP 16. Pricing Considerations 17. Effective Use of the GCP 18. Other Books You May Enjoy

Use case – offline ingestion options

Say you have a few hundred TB of on-premise data and a really slow network connection. Getting the data onto the cloud is a formidable task—particularly if you are using a VPN to connect on-premise to the cloud, further slowing your connectivity. To make things easier in such situations, Google offers offline ingestion options that roughly correspond to Snowball and Snowmobile from AWS.

It may be sufficient for you to merely know that such options exist, if you care about the fine print, please read on, otherwise feel free to skip to the end of the chapter:

  • Data Preparation: Store and/or prepare your data. This can mean arranging it in servers, creating backup images, network settings, or even databases for machine learning:
    • The data should be arranged in the form of non-nested directories (in case of GCS), which then would...
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