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

Deploying to Google App Engine

To deploy to Google App Engine, use the app command group. The App Engine allows us to host websites developed in PHP, Java, Go, or Python in the standard environment. To deploy a sample app to the App Engine instance that was created in Chapter 1, Google Cloud and Google BigQuery, follow the steps listed here:

  1. Download the sample PHP file and app.yaml file from the GitHub URL ( to a folder on the local computer. This PHP code connects to the Cloud SQL instance of the same project, executes a sample query, and displays the result.
  2. Open the index.php file and modify the $dsn variable value to point to your Cloud SQL instance. To get the full qualified Cloud SQL instance name, open the Cloud SQL instance in your project. Copy the value of the instance connection...