Google Cloud Professional Data Engineer Cert Prep: 4 Ensuring Solution Quality
1h 7mAdvanced2023-07-21
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 fourth section of the exam that focuses on ensuring solution quality. Learn about designing for security and compliance; scalability and efficiency assurance; ensuring reliability and fidelity; and ensuring flexibility and portability.
Skills covered
Google CloudData EngineeringGoogleSoftware Development ToolsCloud PlatformsCert PrepCloud ComputingData ScienceSoftware Development
Concepts
Introduction
- Course overview
Security and Compliance Design
- Integrated data security
- Understand Rust crate audits by Google
- The Rust language is secure by design
Scalability and Efficiency Assurance
- Using Bard to enhance productivity
- Copilot enabled Rust
- Continuous integration with Rust and GitHub actions
- Demo unit test Rust
- Energy efficiency of Python vs. Rust
Flexibility and Portability Assurance
- What is distroless
- Demo - Build and deploy Rust Microservice Cloud Run
- Demo - App Engine Rust deploy
Conclusion
- Next steps