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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
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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

Loading data into a table using BigQuery

Using pre-created or custom datasets is also a very common practice in data analytics. Thus, to load data into a table:

  1. Download or locate the data you intend to load. For example, we are using the babynames ZIP file, which is an open dataset. Download it using this URL: http://www.ssa.gov/OACT/babynames/names.zip.
  2. Extract the file at your desired location and you will notice a yob2014.txt file, which is a CSV file.
  3. Go to the console of BigQuery and locate a downward arrow near your project name. Then, click on the Create new dataset button:
  1. Give the dataset an ID of babynames:
  1. Keep all of the other settings as default. Click the OK button

  1. Find the drop-down icon near dataset ID and click on the Create new table option:
  1. To upload the datafile, click on the Choose file button and enter the path of your datafile, which is yob2014...
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