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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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What this book covers

Chapter 1, Google Cloud and Google BigQuery, is a hands-on demo of App Engine, Cloud SQL, BigQuery, Cloud datastore, compute engine, and Google Cloud Storage.

Chapter 2, Google Cloud SDK, covers how to install and configure the Google Cloud SDK and use various utilities provided in the SDK to interact with App Engine, Cloud SQL, BigQuery, and Google Cloud Storage.

Chapter 3, BigQuery Data Types, illustrates various data types supported in Google BigQuery and how to migrate your data to BigQuery.

Chapter 4, BigQuery SQL Basic, covers how to query the data using both legacy SQL and standard SQL, and how to merge data from various tables using queries.

Chapter 5, BigQuery SQL Advanced, shows how to use partition tables in your project and query an external data source on Google Cloud (such as Google Cloud Storage) from within BigQuery. We cover querying of wild card tables, user-defined functions, views, and using nested and repeated types in our tables to support importing JSON data.

Chapter 6, Google BigQuery API, teaches you how to use BigQuery API to create tables and datasets dynamically. You learn to load data into BigQuery and perform streaming insert of records for real-time analytics using Python and C#. Permissions, users, and roles are covered in this chapter.

Chapter 7, Visualizing BigQuery Data, shows you how to visualize your data by connecting it to various frontend tools, such as Tableau and Google Data Studio. We write custom programs in R. 

Chapter 8, Google Cloud Pub/Sub, covers the use of the Cloud Pub/Sub messaging system to log messages from various applications and its use to implement real-time reporting and analytics. This chapter also covers Cloud Dataprep, which helps prepare the data for loading into BigQuery.

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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