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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):

Eric Brown

Thirukkumaran Haridass

Mikhail Berlyant

View More author details

Table of Contents (9) Chapters

Preface

1. Google Cloud and Google BigQuery

2. Google Cloud SDK FREE CHAPTER

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

Getting started with Cloud Pub/Sub

Users can interact with Cloud Pub/Sub in the following ways. This chapter covers all three options, as follows. The programming languages used for our demo are C# and Python:

Google Cloud Console
gcloud command-line utility in Google Cloud SDK
Client libraries for the programming language of your choice

The rest of the chapter is locked

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Authors (3)

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

Berlyant

Berlyant

See other products by Berlyant

Brown

Brown

https://github.com/outoftime

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