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

Why is data visualization important?

Julie is a data analyst working for a sporting goods e-commerce site. She has responsibilities that include reporting on the site's performance. The site includes multiple site categories, such as menswear, womenswear, as well as sporting equipment and shoes. Each category requires separate reporting as well as analysis on an ad hoc basis. Julie loves her work as she has been afforded the opportunity to monitor and analyze datasets of extreme size and complexity. This, however, is also one of her biggest challenges as she has a hard time understanding data of such size and complexity. This is one of the most important challenges data visualization tackles.

By adding data visualization to her repertoire, Julie can turn her unwieldy and static text data into several charts that both drive action and convey the underlying data in a much more...