PDF Version DemoThis course is normally taken by data scientists, data analysts, and business analysts who are in the field of Google Сloud. It is a good way to prepare for your final exam because it teaches you all the details including 7 modules that cover all the Professional Data Engineer exam objectives:
- Data Processing Architectures
- Compute and Storage Fundamentals
- Additional Resources
- Machine Learning
- Introducing Google Cloud Platform ‘
- Scaling Data Analytics
- Data Analytics on the Cloud
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Who should take the Google Professional Data Engineer exam
Individuals should pursue the exam if they want to demonstrate their expertise and ability to design and develop Data Engineering. Following professional get benefited from Google Professional Data Engineer Certification
- Developers responsible for managing big data transformation initiatives
- Data architects
- Data analysts
- Business analysts
- Data scientists
- Data engineers
Reference: https://cloud.google.com/certification/data-engineer
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Google Professional-Data-Engineer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Maintaining and automating data workloads (~15% of the exam) | 15% | - Automating data processes
|
| Ingesting and processing the data (~20% of the exam) | 20% | - Performing security considerations
|
| Designing data processing systems (~30% of the exam) | 30% | - Designing data pipelines
|
| Storing the data (~20% of the exam) | 20% | - Using a data lake
|
| Preparing and using data for analysis (~15% of the exam) | 15% | - Sharing data securely
|
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