Google Cloud Professional Data Engineer Cert Prep: 2 Building and Operationalizing Data Processing Systems
51mAdvanced2023-07-20
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Course details
Earning the Google Cloud Professional Data Engineer certification confirms that you’re able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. In this course, Noah Gift prepares you for the section of the exam that focuses on building and operationalizing data processing systems. Noah covers the topics tested on the exam: storage system implementation, pipeline building and operationalization, and processing infrastructure implementation.
Skills covered
Google CloudData EngineeringGoogleSoftware Development ToolsCloud PlatformsCert PrepCloud ComputingData ScienceSoftware Development
Concepts
Introduction
- Course overview
Storage System Implementation
- Demo - Google Cloud Shell
- Demo - Google Cloud Editor
- Demo - Google CLI SDK
- Demo - Google gcloud CLI tool
- Storage comparison
Pipeline Building and Operationalization
- Jack and the Beanstalk as a data pipeline
- Compare compute offerings
- Demo - Compute volatility on GCP
Processing Infrastructure Implementation
- The challenges of big data
- Demo - Extending GCP Cloud Functions
- Data pipeline triggers
Conclusion
- Next steps