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

Cloud Pub/Sub pricing

Cloud Pub/Sub is priced based on the amount of data sent, received, and published in the Pub/Sub. Each operation is billed a minimum of 1 KB, even if the message and data is less than that. You can find the pricing details at

It is very helpful to track which application is using which topic and which subscription. If needed, use multiple Google Cloud projects to track the billing of Cloud Pub/Sub more effectively. Design the system to be more flexible in granting and revoking access to service accounts that publish and subscribe, and also to the subscriptions.

You can find more information about the quotas for Cloud Pub/Sub in your projects at The max quota is unlimited, which helps companies to implement real-time analytics and reporting: