Introduction – Basics of Google Cloud Platform
You will learn about the Google cloud platform in this chapter, as well as its benefits and the role it plays in today’s digital revolution. Basic knowledge of cloud computing, including cloud service models, GCP account creation, footprint, range of services, and GCP hierarchy. This chapter will also introduce a few key GCP services, including storage, computation, google BigQuery and identity and access management, is then provided.
In this chapter, we will cover the following topics:
- Introduction and basics of Cloud platform
- Advantages of Cloud
- Importance of Cloud for data scientists
- Types of Cloud
- Introduction to Google Cloud platform
- Footprint of Google Cloud
- Cloud service model
- Services of GCP
- Hierarchy of GCP
- Interacting with GCP services
- Storage in GCP
- Compute in GCP
- BigQuery
- Identity and Access Management
Before diving into the Vertex AI of the Google Cloud platform, it is very essential to grasp a few significant principles and vital services of the cloud platform. Users will have a solid understanding of the GCP components and services by the time this chapter ends. Detailed instructions for using GCP’s storage, compute, and BigQuery services are included.
The term Cloud describes the applications and databases that run on servers that can be accessed over the Internet. Data centers across the globe host the cloud servers. Organizations can avoid managing physical servers or running software on their own computers by utilizing cloud computing. The cloud enables users to access the same files and applications from almost any device, because the computing and storage takes place on servers in a data center, instead of locally on the user device.
For businesses, switching to cloud computing removes some IT costs and overhead: for instance, they no longer need to update and maintain their own servers, as the cloud vendor they are using will do that.