Google Cloud Certified Professional Data Engineer
Theory, Hand-ons and 252 Questions, Answers with Explanations. All Hands-Ons in 1-Click Copy-Paste Style. PDF Downloads
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What you will learn:
Designing data processing systemsBuilding and operationalizing data processing systems
Operationalizing machine learning models
Ensuring solution quality
Designing data pipelines
Designing a data processing solution
Migrating data warehousing and data processing
Building and operationalizing storage systems
Building and operationalizing pipelines
Building and operationalizing processing infrastructure
Leveraging pre-built ML models as a service
Deploying an ML pipeline
Measuring, monitoring, and troubleshooting machine learning models
Designing for security and compliance
Ensuring scalability and efficiency
Ensuring reliability and fidelity
Ensuring flexibility and portability