CloudAcademy

Introduction to Google BigQuery

The course is part of these learning paths

Data Engineer – Professional Certification Preparation for Google

course-steps 9 quiz-steps 5

Google BigQuery

course-steps 2 certification 1 quiz-steps 1

Contents

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Introduction
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Introduction1m 59s
Queries
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Running a Query4m 40s
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Pricing2m
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Saving Query Results3m 46s
Getting Data In
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Loading Data8m 26s
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Streaming Data6m 3s
Getting Data Out
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Exporting Data5m 20s
Conclusion
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Conclusion26s
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Overview
Transcript
DifficultyBeginner
Duration32m 40s
Students757

Description

BigQuery is Google’s managed data warehouse in the cloud. BigQuery is incredibly fast. It can scan billions of rows in seconds. It’s also surprisingly inexpensive and easy to use. Querying terabytes of data costs only pennies and you only pay for what you use since there are no up-front costs.

This is a hands-on course where you can follow along with the demos using your own Google Cloud account or a trial account. You do not need any prior knowledge of Google Cloud Platform and the only pre-requisite is having some experience with databases.

Learning Objectives

  • Load data into BigQuery using files or by streaming one record at a time
  • Run a query using standard SQL and save your results to a table
  • Export data from BigQuery using Google Cloud Storage

 

About the Author

Students5751
Courses21
Learning paths9

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).

Covered topics

AnalyticsStorageDatabasesGoogle Cloud PlatformAnalytics for GoogleDatabases for GoogleStorage for GoogleBigQuery