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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

Programming with BigQuery API in Python

The following section covers the interaction with BigQuery API using the Python programming language. The code samples cover how to create a new dataset and new table in BigQuery, load data from Google Cloud Storage to the table, execute a query, and return the results or copy the data to a new table.

To get started in Python, make sure the Google Cloud SDK is installed and configured as mentioned in Chapter 2, Google Cloud SDK. Python version 3.6.1 was used in coding these samples. To install the BigQuery API client library for Python, run the following command from the command prompt:

pip install --upgrade google-cloud-bigquery

If the project is going to have other services as well, then it is also better to install client libraries for other services by running the command given here:

pip install --upgrade google-cloud
...
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