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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
Author Profile Icon Judy Raj
Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Toc

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

Summary

In this chapter, we have seen how Google Cloud Storage can be used to store your static, unstructured data, and how it compares with other forms of data storage. You should now be familiar with how to create buckets, populate them with data, and then manage them using versioning and life cycle policies.We have touched upon securing data in the buckets using encryption, as well as restricting access using ACLs and IAM. We have also looked into how to integrate your GCS buckets with your existing infrastructure by mounting it to your hosts.

Now that we have seen how to manage unstructured data, we can move along and explore the various options supplied by Google Cloud to manage structured information.

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