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Learning Google BigQuery

You're reading from   Learning Google BigQuery A beginner's guide to mining massive datasets through interactive analysis

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787288591
Length 264 pages
Edition 1st Edition
Languages
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Authors (3):
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Eric Brown Eric Brown
Author Profile Icon Eric Brown
Eric Brown
Thirukkumaran Haridass Thirukkumaran Haridass
Author Profile Icon Thirukkumaran Haridass
Thirukkumaran Haridass
Mikhail Berlyant Mikhail Berlyant
Author Profile Icon Mikhail Berlyant
Mikhail Berlyant
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Toc

Table of Contents (9) Chapters Close

Preface 1. Google Cloud and Google BigQuery 2. Google Cloud SDK FREE CHAPTER 3. Google BigQuery Data Types 4. BigQuery SQL Basic 5. BigQuery SQL Advanced 6. Google BigQuery API 7. Visualizing BigQuery Data 8. Google Cloud Pub/Sub

Why is data visualization important?

Julie is a data analyst working for a sporting goods e-commerce site. She has responsibilities that include reporting on the site's performance. The site includes multiple site categories, such as menswear, womenswear, as well as sporting equipment and shoes. Each category requires separate reporting as well as analysis on an ad hoc basis. Julie loves her work as she has been afforded the opportunity to monitor and analyze datasets of extreme size and complexity. This, however, is also one of her biggest challenges as she has a hard time understanding data of such size and complexity. This is one of the most important challenges data visualization tackles.

By adding data visualization to her repertoire, Julie can turn her unwieldy and static text data into several charts that both drive action and convey the underlying data in a much more...

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