Summary
Throughout this second chapter, we've taken the first steps into GCP. Before starting the registration process, we look at the hierarchy of GCP resources, composed of multiple projects, folders, and an organization node.
After that, we learned how to create a new account and leverage the free trial offered by Google. Then, we explored Google Cloud Console from the web browser and created a new GCP project that we'll use in the next chapters to host our machine learning use cases.
Upon completing the setup operations, we enabled the BigQuery API to start accessing this serverless analytic data warehouse.
Since BigQuery provides a lot of different functions, we introduced each of them gradually, exploring their utility. One of the most important functions is adding public datasets to our console. This capability enables us to access and use tables that have already been compiled by companies and public institutions. The datasets are ready to use and can be...
