Google Cloud – Professional Data Engineer

Google Cloud – Professional Data Engineer

  • Overview
  • Course Outline

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be 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. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

  1. Design data processing systems
  2. Build and operationalize data processing systems
  3. Operationalize machine learning models
  4. Ensure solution quality