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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 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

Summary

This chapter covered the practical use of partition tables, wildcard tables, nested and repeated records, and views. This chapter also covered how to define and use user-defined functions in JavaScript and SQL. Then we covered how to connect to external data sources and query them using the BigQuery engine. More and more federated data sources will be added to this list and you will learn how to connect to Bigtable and Google Drive files using the documents provided in the further reading section.

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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

https://github.com/outoftime

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