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Learning Google BigQuery

You're reading from  Learning Google BigQuery

Product type Book
Published in Dec 2017
Publisher Packt
ISBN-13 9781787288591
Pages 264 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Thirukkumaran Haridass Thirukkumaran Haridass
Profile icon Thirukkumaran Haridass
LinkedIn
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.
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Mikhail Berlyant Mikhail Berlyant
Profile icon Mikhail Berlyant
LinkedIn
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Eric Brown Eric Brown
Profile icon Eric Brown
LinkedIn
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.
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Table of Contents (9) Chapters

Preface 1. Google Cloud and Google BigQuery 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...

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Authors (3)

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Profile icon Thirukkumaran Haridass
LinkedIn
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.
Read more
See other products by Thirukkumaran Haridass
Profile icon Mikhail Berlyant
LinkedIn
See other products by Mikhail Berlyant
Profile icon Eric Brown
LinkedIn
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.
Read more
See other products by Eric Brown
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