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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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Table of Contents (9) Chapters Close

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

The BigQuery interface

The BigQuery web interface looks like the following screenshot displaying the current project and the datasets and tables in that project. The COMPOSE QUERY button will open the panel to type the query as shown in the following screenshot:

Data can be inserted, queried, updated, and deleted via the BigQuery API or the Google BigQuery web interface. This section will cover creating and inserting data via the BigQuery web interface. The BigQuery web interface is useful as it provides some tools for manipulation and debugging not seen in most SQL development environments. The interface has tools for error checking, job history, job status, query history, as well as other things. There is no need to deal with confusing database connection settings as the user's Google login information acts as the connection credentials.

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