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You're reading from  Learning Google BigQuery

Product typeBook
Published inDec 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781787288591
Edition1st Edition
Languages
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Authors (3):
Thirukkumaran Haridass
Thirukkumaran Haridass
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Thirukkumaran Haridass

Thirukkumaran Haridass currently works as a lead software engineer at Builder Homesite Inc. in Austin, Texas, USA. He has over 15 years of experience in the IT industry. He has been working on the Google Cloud Platform for more than 3 years. Haridass is responsible for the big data initiatives in his organization that help the company and its customers realize the value of their data. He has played various roles in the IT industry and worked for Fortune 500 companies in various verticals, such as retail, e-commerce, banking, automotive, and presently, real estate online marketing.
Read more about Thirukkumaran Haridass

Eric Brown
Eric Brown
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Eric Brown

Eric Brown currently works as an analytics manager for PMG advertising in Austin, Texas. Eric has over 11 years of experience in the data analytics field. He has been working on the Google Cloud Platform for over 3 years. He oversees client web analytics implementations and implements big data integrations in both Google BigQuery and Amazon Redshift. Eric has a passion for analytics, and especially for visualization and data manipulation through open source tools such as R. He has worked in various roles in various verticals, such as web analytics service providers, media companies, real-estate online marketing, and advertising.
Read more about Eric Brown

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Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "If the table already exists then the bq utility will throw the error Already Exists: Table project-id:datasetname.tablename."

A block of code is set as follows:

SELECT year(pickup_datetime) as trip_year, count(1) as trip_count
FROM [nyc-tlc:yellow.trips]

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

{  "rule":
  [
    {
      "action": {"type": "Delete"},
      "condition": {"age": 30}
    }
  ]
}

Any command-line input or output is written as follows:

sudo apt-get install google-cloud-sdk
apt-cache showpkg google-cloud-sdk

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Choose My Billing Account in the Project or Billing account drop-down and check the Include credit as a budget expense option".

Warnings or important notes appear like this.
Tips and tricks appear like this.
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Learning Google BigQuery
Published in: Dec 2017Publisher: PacktISBN-13: 9781787288591

Authors (3)

author image
Thirukkumaran Haridass

Thirukkumaran Haridass currently works as a lead software engineer at Builder Homesite Inc. in Austin, Texas, USA. He has over 15 years of experience in the IT industry. He has been working on the Google Cloud Platform for more than 3 years. Haridass is responsible for the big data initiatives in his organization that help the company and its customers realize the value of their data. He has played various roles in the IT industry and worked for Fortune 500 companies in various verticals, such as retail, e-commerce, banking, automotive, and presently, real estate online marketing.
Read more about Thirukkumaran Haridass

author image
Eric Brown

Eric Brown currently works as an analytics manager for PMG advertising in Austin, Texas. Eric has over 11 years of experience in the data analytics field. He has been working on the Google Cloud Platform for over 3 years. He oversees client web analytics implementations and implements big data integrations in both Google BigQuery and Amazon Redshift. Eric has a passion for analytics, and especially for visualization and data manipulation through open source tools such as R. He has worked in various roles in various verticals, such as web analytics service providers, media companies, real-estate online marketing, and advertising.
Read more about Eric Brown