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 and Google BigQuery

The amount of data generated and collected in an enterprise scales from trickle to torrent in no time. The way companies are using data and deriving value from it has changed dramatically in the last decade. Data is now used not only to report the past but also to predict the future. With all the big data initiatives going on in companies, data has now taken center stage once again. Most of these big data initiatives are not tactical but strategic and sponsored by the executive teams.

Traditional on-premise hosted data warehouse solutions are now becoming hard to scale due to various reasons such as regular hardware upgrades. Since the data captured and stored is growing exponentially in most enterprises, licensing costs are increasing with upgrades and operations, which are sucking in considerable money.

For companies, large or small, that are looking for affordable data warehouse solutions to host their data for analysis and reporting, Google BigQuery may fit the bill and the skill.

In this chapter we will:

  • Get started with the Google Cloud Platform
  • Briefly overview various services in Google Cloud Platform that can help you get data in and out of Google BigQuery
  • Get started with Google BigQuery and evaluate its performance, capabilities, and features using the public dataset provided by Google Cloud