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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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Deploying to Google App Engine

To deploy to Google App Engine, use the app command group. The App Engine allows us to host websites developed in PHP, Java, Go, or Python in the standard environment. To deploy a sample app to the App Engine instance that was created in Chapter 1, Google Cloud and Google BigQuery, follow the steps listed here:

  1. Download the sample PHP file and app.yaml file from the GitHub URL (https://github.com/hthirukkumaran/Learning-Google-BigQuery/tree/master/chapter2/phpapp) to a folder on the local computer. This PHP code connects to the Cloud SQL instance of the same project, executes a sample query, and displays the result.
  2. Open the index.php file and modify the $dsn variable value to point to your Cloud SQL instance. To get the full qualified Cloud SQL instance name, open the Cloud SQL instance in your project. Copy the value of the instance connection...
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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