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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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 Berlyant Berlyant
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Berlyant
 Haridass Haridass
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Haridass
 Brown Brown
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Brown
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Table of Contents (17) Chapters Close

Title Page
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Google Cloud and Google BigQuery FREE CHAPTER 2. Google Cloud SDK 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

Partition tables


Partition tables are special tables that store data at a daily level in separate internal tables. This helps to improve the query performance and also reduces billing by querying data using a specified date range. The following steps outline how to create the partition table for your projects using a GUI and Google Cloud SDK.

Creating a partition table using a GUI

Download the sample file from this URL and upload it to a Google Cloud Storage bucket: https://github.com/hthirukkumaran/Learning-Google-BigQuery/blob/master/chapter1/employeedetails.csv. And note down the bucket name.

  1. Click on the Create new table option under the Dataset menu.
  2. To create a partition table, enable the partition option by choosing Day in the Partitioning drop-down as shown in the following screenshot. Enter the file from Google Cloud Storage to import data into the new table.
  1. Click on the Create Table button to create the table and import the data from the file:

Once the table is created, a new column...

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