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

Google Cloud Dataprep

Google Cloud Dataprep is a serverless service used to format and transform your raw data before importing it into BigQuery or storing it as a new file. The file used for the demo is a Wikipedia log. You can download one of the files from

Open the Cloud Console screen in the browser and choose the project you want to use for Cloud Dataprep. Open Cloud Shell by clicking on the  icon, as shown in this screenshot:

Run the following command to download a file from the URL given previously:


Run the following command to extract the gzip file and store it in the same directory:

gunzip pageviews-20171201-120000.gz

Run the following command to rename the file with a user-friendly name for this demo: