Thirukkumaran Haridass & Eric Brown 
Learning Google BigQuery 
A beginner’s guide to mining massive datasets through interactive analysis

Get a fundamental understanding of how Google Big Query works by analyzing and querying large datasets

• Get started with Big Query API and write custom applications using it


• Learn how Big Query API can be used for storing, managing, and query massive datasets with ease


• A practical guide with examples and use-cases to teach you everything you need to know about Google Big Query

If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with Big Query is assumed.

• Get a hands-on introduction to Google Cloud Platform and its services


• Understand the different data types supported by Google Big Query


• Migrate your enterprise data to Big Query and query it using the legacy and standard SQL techniques


• Use partition tables in your project and query external data sources and wild card tables


• Create tables and data sets dynamically using the Big Query API


• Perform real-time inserting of records for analytics using Python and C#


• Visualize your Big Query data by connecting it to third party tools such as Tableau and R


• Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data

Google Big Query is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering Big Query, 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 Big Query 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 Big Query, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using Big Query, 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 Big Query and services that interact with it. By the time you’re done with it, you will have set a solid foundation in working with Big Query to solve even the trickiest of data problems.

This book follows a step-by-step approach to teach readers the concepts of Google Big Query using SQL. To explain various data querying processes, large-scale datasets are used wherever required.