Summary
In this first chapter, you learned about the appeal of cloud computing and how to make the case for cloud adoption and for Google Cloud in particular. You also learned about some of Google Cloud's key differentiators, such as its fast network and its cutting-edge big data and AI services. We had a look at the core services of the platform and things such as regions and zones, the resource hierarchy, and other GCP concepts. Finally, we got started with the platform by setting up an account and installing the Cloud SDK, before teasing out BigQuery's powerful capabilities by running a fast serverless query on a sample public dataset.
In the next chapter, we will get into IAM in Google Cloud and look at ways to improve the cost discipline. To help you truly master the basics, we will end the next chapter with a case study and a small hands-on project.
