A quick overview of GCP services for data engineering
As shown in the GCP console’s navigation bar, there are a lot of services in GCP. These services are not only limited to data and analytics – there are other areas, such as application development, machine learning, networks, source repositories, and many more. As a data engineer working on GCP, you will face situations where you need to decide which services you need to use for your organization.
You might be wondering, who in an organization should decide on the services to use? Is it the CTO, IT manager, solution architect, or data engineer? The answer depends on their experience of using GCP. But most of the time, data engineers need to be involved in the decision.
So, how should we decide? In my experience, there are three important decision factors:
- Choose serverless services
- Understand the mapping between the service and the data engineering areas
- If there is more than one option in one...
