Google Cloud Professional Data Engineer Certification

Master the design, development, and operationalization of scalable data pipelines on Google Cloud and prepare to earn the Google Certified Professional Data Engineer credential.

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What is Google Cloud Professional Data Engineer Certification Training about?

This course prepares professionals to pass the Google Cloud Professional Data Engineer certification by equipping them with the skills to design, build, operationalize, secure, and monitor data processing systems. The focus is on using Google Cloud Platform (GCP) tools like BigQuery, Dataflow, Pub/Sub, Dataproc, and Bigtable to enable data-driven decision-making and scalable analytics solutions.
Exam Format
Exam Code: Professional Data Engineer
Duration: 2 hours
Question Types:
- Multiple-choice and multiple-select questions
- Scenario-based and case study questions
Passing Score: 70%

What are the objectives of Google Cloud Professional Data Engineer Certification Training ?

Design and manage scalable data processing systems on GCP
Build and optimize data pipelines using Dataflow, Dataproc, and Composer
Design and operate data warehouses using BigQuery
Operationalize machine learning models on GCP
Ensure data security and compliance on cloud data platforms
Confidently pass the Professional Data Engineer exam

Who is Google Cloud Professional Data Engineer Certification Training for?

Cloud and Data Engineers
Data Architects and Analytics Engineers
Software Engineers working with big data
Professionals preparing for the GCP Data Engineer certification

What are the prerequisites for Google Cloud Professional Data Engineer Certification Training?

Experience with GCP services and data pipeline architecture
Working knowledge of SQL and Python/Java
Familiarity with data modeling, warehousing, and ETL concepts
Prepare for the exam by completing this course: Professional Data Engineer

Google Cloud Professional Data Engineer Certification Training - Certification & Exam

Certification Course Outline

Designing scalable and reliable database solutions: Understanding database architecture and design principles.
Managing database migrations: Strategies for migrating databases to Google Cloud.
Automating database operations: Techniques for automating database management tasks.
Ensuring database security: Best practices for securing database systems.
Optimizing database performance: Methods for performance tuning and optimization.
Setting up monitoring and alerting: Tools and techniques for monitoring database systems.
Managing high availability and disaster recovery: Ensuring database availability and recovery in case of failures.
Implementing data lifecycle management: Strategies for managing data lifecycle from creation to deletion.

Benefits of Certification

Recognition of expertise in Google Cloud database solutions
Enhanced career opportunities and credibility
Access to exclusive Google Cloud resources and communities
Increased confidence in managing and optimizing cloud database environments