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Google Cloud Platform for Architects

Google Cloud Platform for Architects

By : Vitthal Srinivasan, Loonycorn Ravi, Judy Raj
3.1 (12)
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Google Cloud Platform for Architects

Google Cloud Platform for Architects

3.1 (12)
By: Vitthal Srinivasan, Loonycorn Ravi, Judy Raj

Overview of this book

Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design.
Table of Contents (19 chapters)
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9
Identity and Access Management
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13
Logging and Monitoring
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14
Infrastructure Automation
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18
Other Books You May Enjoy
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Working with BigQuery using CLI

BigQuery can also be accessed and operated using the bq command. Here are some of the operations using the bq command in Cloud Shell:

  • To view a table in your database:
bq show projectId:datasetId.tableId
  • To run a certain query:
bq query "<<<query text>>>"  
  • To create a new table:
bq mk <<<dataset name>>>
  • To list the tables:
bq ls  
  • To load the dataset along with the schema:
bq load <<<dataset_name.filename schema_text>>> 
  • For example, to load the same babynames dataset as the GUI example:
bq load babynames.names2010 yob2010.txt name:string,gender:string,count:integer
  • Finally, to remove a dataset, use:
 bq rm -r <<<datasetID>>>

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