Chapter 5Building and Operationalizing Processing Infrastructure
Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:
- ✔ 2.3 Building and operationalizing processing infrastructure. Considerations include:
- Provisioning resources
- Monitoring pipelines
- Adjusting pipelines
- Testing and quality control>
Data engineering depends heavily on computing, or processing, resources. In this chapter, you will learn how to provision and adjust processing resources, including Compute Engine, Kubernetes Engine, Cloud Bigtable, and Cloud Dataproc. You will also learn about configuring managed, serverless processing ...
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