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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

Working with the BigQuery console

BigQuery can be accessed using both GUI and command line. To access BigQuery using a GUI console:

  1. Click on the menu button on the top-left corner of the console and select BigQuery from the drop-down menu. You will encounter a new console looking something like this:
  1. Click on the COMPOSE QUERY button to enable the text area where queries can be written:
  1. To query a public dataset, paste the following text into the text area:
#standardSQL 
SELECT 
 weight_pounds, state, year, gestation_weeks 
FROM 
 `bigquery-public-data.samples.natality` 
ORDER BY weight_pounds DESC LIMIT 10; 
  1. Click the RUN QUERY button to run the query and observe the results, which will look like this:

Here as we can see, a public dataset named samples.natality is queried and 3.49 GB of data takes as low as 3.4 seconds to be processed. This speed and simplicity makes...

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