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DURATION
10 days
LEVEL
Intermediate
OBJECTIVES
The Google Cloud Professional Data Engineer is able to harness the power of Google's big data capabilities and make data-driven decisions by collecting, transforming, and visualizing data. Through designing, building, maintaining, and troubleshooting data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems, a Google Cloud data engineer is able to put these systems to work.
This course will prepare you for the Google Cloud Professional Data Engineer exam by diving into all of Google Cloud's data services. With interactive demonstrations and an emphasis on hands-on work, you will learn how to master each of Google's big data and machine learning services and become a certified data engineer on Google Cloud.
PREREQUISITES
Completion of Google Cloud Platform Fundamentals or equivalent experience. Basic proficiency with command-line tools and Linux operating system environments. Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.
WHO SHOULD ATTEND
Cloud professionals interested in taking the Data Engineer certification exam.
Data engineering professionals interested in taking the Data Engineer certification exam.