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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

Summary

Visualization is a tool used to help the viewer understand data that simple text or numbers in a table can't convey. Also, visual data is much more quickly processed than text (15x faster per an MIT Neuroscience study). It is hard to argue that visualization is not a technique that should be used by each and every data analyst. BigQuery, in conjunction with visualization tools such as Google Data Studio, Tableau, or the R programming language, can be used by analysts to help convey meanings in data that might otherwise be overlooked, undermined, or misunderstood.

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