Book Image

Learning Google BigQuery

By : Thirukkumaran Haridass, Mikhail Berlyant, Eric Brown
Book Image

Learning Google BigQuery

By: Thirukkumaran Haridass, Mikhail Berlyant, Eric 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)
Free Chapter
Google Cloud and Google BigQuery


In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "If the table already exists then the bq utility will throw the error Already Exists: Table project-id:datasetname.tablename."

A block of code is set as follows:

SELECT year(pickup_datetime) as trip_year, count(1) as trip_count
FROM [nyc-tlc:yellow.trips]

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

{  "rule":
      "action": {"type": "Delete"},
      "condition": {"age": 30}

Any command-line input or output is written as follows:

sudo apt-get install google-cloud-sdk
apt-cache showpkg google-cloud-sdk

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Choose My Billing Account in the Project or Billing account drop-down and check the Include credit as a budget expense option".

Warnings or important notes appear like this.
Tips and tricks appear like this.