Overview

Acecerty’s Professional Data Engineer training is designed to equip you with the skills required to design, build, and manage data processing systems on Google Cloud. This course follows a structured, exam-focused approach aligned with Google Cloud standards, preparing you for both certification and real-world data engineering roles.

Outcome

Gain the skills and confidence to pass the Google Cloud Professional Data Engineer exam and build scalable, reliable, and secure data solutions on Google Cloud.

 
 

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Acecerty

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Professional Data Engineer

Category:

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Enrollments

Level

Intermediate

Time to Complete:

4 hours 30 minutes

Lessons:

0

Certificate:

Yes

Purchase This Course

$ 56.00$ 42.00

Overview

Acecerty’s Professional Data Engineer training is designed to equip you with the skills required to design, build, and manage data processing systems on Google Cloud. This course follows a structured, exam-focused approach aligned with Google Cloud standards, preparing you for both certification and real-world data engineering roles.

Outcome

Gain the skills and confidence to pass the Google Cloud Professional Data Engineer exam and build scalable, reliable, and secure data solutions on Google Cloud.

 
 

What You’ll Learn?

Designing and building data processing systems on Google Cloud
Data ingestion, transformation, and storage solutions
Working with BigQuery, Dataflow, Pub/Sub, and Dataproc
Data modeling and pipeline optimization
Machine learning integration and data analysis
Ensuring data security, reliability, and compliance

Requirements

Basic understanding of data concepts and databases
Familiarity with programming (e.g., Python or SQL) is an advantage
Knowledge of cloud computing concepts is helpful
Active participation in hands-on labs and exercises is recommended

Syllabus Overview

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Lessons

5

Quizzes

0

Tasks

0

Resources

Designing Data Processing Systems

Ingesting and Processing the data

Storing the Data

Preparing and Using Data for Analysis

Maintaining and Automating Data Workloads

Material Includes

Comprehensive study guides covering all exam domains
Practice questions and full-length mock exams
Real-world data engineering case studies
Exam preparation guides and test-taking strategies
Progress tracking and self-assessment tools

Instructor(s)

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