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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

Connecting to Cloud SQL using gcloud

There is more than one way to connect to a Cloud SQL instance from your machine, but the two most frequently used options are in the following list. The listed prerequisites for both the options require the MySQL client libraries to be installed on the local machine:

Adding the client machine IP address to authorized networks in Google Cloud Console
Installing a proxy script on the client machine and using that to connect to Google Cloud SQL

Authorizing the client machine via Google Cloud Console

Get the IP address of the client machine by opening the browser and navigating to this URL: http://ipv4.whatismyv6.com/. Note down the IP address shown on this page for your machine. Open Google Cloud Console in a web browser by navigating to https://console.cloud.google.com. Navigate to the Cloud SQL service and choose the instance you want to connect to. Choose the AUTHORIZATION tab of the instance and click on the Add network button. Add the IP address shown as...

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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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