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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

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781787288591

Length 264 pages

Edition 1st Edition

Languages

Python

Tools

BigQuery

Concepts

Database Administration

Authors (3):

Berlyant

Haridass

Brown

View More author details

Table of Contents (17) Chapters

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

Using the gcloud utility

The gcloud utility is used to interact with the rest of the services on the Google Cloud Platform, other than BigQuery and Google Cloud Storage. The commands in the gcloud utility are grouped for each service. The following are the service groups for some of the services on the Google Cloud Platform:

Service group	Google Cloud service
App	App Engine standard and flexible environment
Compute	Compute Engine to manage virtual machines
Container	Container Engine to manage containers and clusters
Dataflow	Manage Cloud Dataflow services for ETL and data processing
Dataproc	Manage Cloud Dataproc service which consists of Apache Hadoop, Spark, Pig, and Hive
Datastore	Manage Cloud Datastore service which creates entities on a NoSQL database
SQL	Manage Cloud SQL service which consists of MySQL or PostgreSQL databases

To view the list of commands available in each service group, run the help command shown as follows. The following command will show the list of command groups available for the...

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Authors (3)

Berlyant

Berlyant

See other products by Berlyant

Haridass

Haridass

Thirukkumaran Haridass currently works as a lead software engineer at Builder Homesite Inc. in Austin, Texas, USA. He has over 15 years of experience in the IT industry. He has been working on the Google Cloud Platform for more than 3 years. Haridass is responsible for the big data initiatives in his organization that help the company and its customers realize the value of their data. He has played various roles in the IT industry and worked for Fortune 500 companies in various verticals, such as retail, e-commerce, banking, automotive, and presently, real estate online marketing.

See other products by Haridass

Brown

Brown

Eric Brown currently works as an analytics manager for PMG advertising in Austin, Texas. Eric has over 11 years of experience in the data analytics field. He has been working on the Google Cloud Platform for over 3 years. He oversees client web analytics implementations and implements big data integrations in both Google BigQuery and Amazon Redshift. Eric has a passion for analytics, and especially for visualization and data manipulation through open source tools such as R. He has worked in various roles in various verticals, such as web analytics service providers, media companies, real-estate online marketing, and advertising.

See other products by Brown

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