Google Cloud Professional Data Engineer Cert Prep: 4 Ensuring Solution Quality

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Noah Gift

1:06:55

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01 - Introduction

01 - Course overview.mp4

01:59

02 - 1. Security and Compliance Design

01 - Integrated data security.mp4

02:53

02 - Understand Rust crate audits by Google.mp4

02:59

03 - The Rust language is secure by design.mp4

04:52

03 - 2. Scalability and Efficiency Assurance

01 - Using Bard to enhance productivity.mp4

06:07

02 - Copilot enabled Rust.mp4

09:13

03 - Continuous integration with Rust and GitHub actions.mp4

07:52

04 - Demo unit test Rust.mp4

06:44

05 - Energy efficiency of Python vs. Rust.mp4

05:37

04 - 3. Flexibility and Portability Assurance

01 - What is distroless.mp4

02:34

02 - Demo Build and deploy Rust Microservice Cloud Run.mp4

06:57

03 - Demo App Engine Rust deploy.mp4

05:15

05 - Conclusion

01 - Next steps.mp4

03:53

Description

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.

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Data Science

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Google Cloud

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.