• Boot Camp Format: 40 hours
  • Language: English

 

Overview:

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and visualizing data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems.

The Data Engineer also analyzes data to gain insight into business outcomes, builds statistical models to support decision-making, and creates machine learning models to automate and simplify key business processes.

 

Pre-requisite:

  • Familiarity with Google Cloud Platform at the level of Google Cloud Certified Associate Cloud Engineer or CompTIA Cloud+ or Cloud Essentials (optional)

Course Outline: Please download PDF

Why Google Cloud ?

  • Significant global demand
  • The high adoption rate of Google cloud services by organizations
  • The lack of cloud expertise is identified as the #1 challenge with cloud adoption by 25% of corporations. There’s clearly a shortage of certified Google cloud professionals available today
  • Combining Google Cloud certifications with other certifications to expand skill sets and increase salaries even more

The Google Cloud Certified – Professional Data Engineer exam assesses your ability to:

  • Build and maintain data structures and databases
  • Design data processing systems
  • Analyze data and enable machine learning
  • Model business processes for analysis and optimization
  • Design for reliability
  • Visualize data and advocate policy
  • Design for security and compliance

Google Cloud Certified Associate Cloud Engineer qualify for these careers:

  • Cloud Data Engineer
  • Cloud Engineer
  • Data Science Engineer
  • Data Analysts

Exam Requirements
  • 1 certification exam
Exam Format
  • Multiple choice
  • 2 Hours


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