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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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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

BigQuery

BigQuery is probably the single most compelling reason to adopt the GCP right now. It is a data warehousing service that is really fast, really price-competitive, and incredibly easy to use. Unlike some other Google Cloud services, BigQuery is widely used and so has little unpredictability in its behavior. I like to joke that if you interact with a Google Cloud sales professional, no matter what your question, the answer that comes back is, just use BigQuery for that!

In this chapter, you will learn about the following:

  • BigQuery as Google's fully managed petabyte scale serverless database
  • Architecture of BigQuery
  • Working with BigQuery using web console
  • Working with BigQuery using CLI

BigQuery competes with proprietary data warehousing solutions such as Teradata, but has obvious and major advantages over them, notably that it is cloud-based, serverless, and supports...

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