Getting Started with BigQuery - Google BigQuery Analytics - page 49

Chapter 3
Getting Started with BigQuery
Throughout this topic, features of BigQuery are explained using sample
commands and code that you can use to develop a solid understanding of
how the service works. This chapter covers the setup necessary to use the
examples. This chapter focuses on quickly getting to a working environment,
so you shouldn't worry if terms or concepts seem unfamiliar. Detailed
explanations follow in later chapters. If you have worked with the Google
Cloud Platform, you can skip sections that seem familiar. If you use BigQuery
and want to understand advanced features, you can safely skip this entire
chapter.
Creating a Project
BigQuery is a part of the Google Cloud Platform suite of services. To start you
need a Google account. If you have an existing Google account, for example
an @gmail.com e-mail address, you can use it; otherwise, you can create one
at https://accounts.google.com/ . This account will be your primary
identity when using the service. Next, you need to set up a project to enable
and manage Google APIs and cloud services.
Safeguarding Your Password
You should never enter your Google account password anywhere other
than the Google login page in a browser. It is not uncommon to see
passwords for databases or web APIs embedded in source code.
However, this should never be the case when working with Google APIs.
Google APIs Console
The project management console is located at
https://console.developers.google.com/ . If you haven't created a
project before, you will be prompted to create one. Even if you have an
existing project, it is probably a good idea to create a separate one for trying