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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

Google BigQuery API

This chapter will explore the Google BigQuery API. The API methods explored in this chapter will provide an idea of how to:

  • Create a new dataset in a project
  • Create new tables in the dataset
  • Load data to the table from files in the Google Cloud Storage location
  • Execute a query and get its results or save the results of the query to a new table

This chapter also introduces Google APIs Explorer, to help users understand the API methods used in this chapter deeply so that it can used in other programming languages. This chapter has code samples for accessing the BigQuery API via C# .NET and Python programming languages. 

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