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You're reading from  Learning Google BigQuery

Product typeBook
Published inDec 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781787288591
Edition1st Edition
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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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Views

BigQuery supports creating views, but they are not materialized views and the underlying query for a view is executed each time someone runs a query on the view. A view can be defined using legacy SQL or standard SQL, but the limitation is that if a view is defined in legacy SQL, then the queries executed using that view must also be in legacy SQL. The same applies to views that are defined using standard SQL; they can be used only in standard SQL statements. User-defined functions cannot be used in the query to define the views.

The BigQuery web console provides an option to save a query as a view, as shown in the following screenshot. Click on the Save View button as shown in this screenshot and choose the dataset under which the view has to be saved; provide a view name and save it:

To change the view definition, navigate to the view in the BigQuery web console and open...

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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