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Learning Google BigQuery

Learning Google BigQuery

By : Berlyant, Haridass, Brown
3.3 (4)
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Learning Google BigQuery

Learning Google BigQuery

3.3 (4)
By: Berlyant, Haridass, Brown

Overview of this book

Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.
Table of Contents (9 chapters)
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1
Google Cloud and Google BigQuery

Arithmetic Operators

To execute the queries shown in the chapter open the BigQuery Console from the main menu as shown in the screenshot below. Click on the Compose Query button in the BigQuery Console to type the queries and execute it. More details about the BigQuery Console is explained in the beginning of the next chapter.

The following are the arithmetic operators that are available for use in queries in both standard and legacy SQL. The + operator adds two numbers and returns the output. Type the query below in the query editor and press Run Query button to see the output.

SELECT 1 + 2

The screenshot below shows the output of the query and various options available like saving the query to the project with a name for later use and other options.

The + operator can be used for string concatenation in legacy SQL as shown in the query below.

#legacySQL
SELECT 'ABC...

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