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Google Cloud Platform for Architects

You're reading from  Google Cloud Platform for Architects

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Pages 372 pages
Edition 1st Edition
Languages
Authors (3):
Vitthal Srinivasan Vitthal Srinivasan
Profile icon Vitthal Srinivasan
Loonycorn Loonycorn
Profile icon Loonycorn
Judy Raj Judy Raj
Profile icon Judy Raj
View More author details
Toc

Table of Contents (19) Chapters close

Preface 1. The Case for Cloud Computing 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 BigQuery unless you have a specific reason not to

There is an absolute candy store of data storage services available on the GCP. You probably have seen a taxonomy like the one in the following diagram, which tells you which service to use when. Now you certainly should take the time to go through this diagram and understand each part of it, but the bottom line can be summed up as: unless you really have a strong pressing reason, just use BigQuery:

One asterisk about this preceding taxonomy is we intentionally list Datastore in the OLAP part of the tree because even though it does have a transactional mode, in the real world, if you need transactional support, you are far more likely to go with RDBMS than with a document-oriented NoSQL database such as Datastore.

What might some of those strong pressing reasons to not use BigQuery be? Well, you might need really ironclad...

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