Udemy – Google Cloud Professional Cloud Database Engineer
English | Tutorial | Size: 4.22 GB
Prepare for the GCP Database Engineer exam: Cloud SQL, BigQuery, Spanner, migration strategies, IAM security (Hands-on)
Are you preparing for the Google Cloud Professional Cloud Database Engineer certification? This is the most comprehensive, exam-aligned course available – built to take you through every domain tested on the exam while giving you the hands-on experience to back it up in production environments.
The Professional Cloud Database Engineer certification is one of the most respected credentials in cloud data engineering. It validates your ability to design, deploy, secure, migrate, and optimize database solutions on Google Cloud Platform. This course maps directly to the official exam domains, ensuring that every hour you invest moves you closer to passing – and to building real skills that last beyond the test.
Why This Course
Most certification prep courses stop at theory. This one does not. Every concept is reinforced through step-by-step hands-on demonstrations in the GCP Console and Cloud Shell, so you walk away with practical skills that exam graders – and future employers – will recognize immediately.
What You Will Learn
The course covers all major exam domains and GCP database services, including:
Understanding GCP storage service types and selecting the right solution for relational, NoSQL, analytical, and in-memory workloads
Implementing and configuring Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, BigQuery, AlloyDB, and Memorystore
Designing schemas for each database type, including BigQuery nested and repeated fields and Bigtable row key patterns
Deploying databases with high availability, automated backups, and replication for production resilience
Migrating on-premises and cloud databases to GCP using the Database Migration Service with Change Data Capture (CDC)
Securing databases with IAM roles, IAM database authentication, CMEK, VPC Service Controls, and regulatory compliance frameworks
Managing Point-in-Time Recovery (PITR), disaster recovery, and operational automation
Optimizing query performance, index strategies, and BigQuery cost controls
Orchestrating data workflows with Cloud Composer, Dataplex, Dataprep, Looker Studio, and Vertex AI Workbench
Hands-On Labs Included
The course combines theoretical knowledge with hands-on practice through real-world scenarios and lab exercises. You will provision Cloud SQL instances, run SQL queries, configure DMS migration jobs, assign IAM roles, set up PITR restores, define lifecycle rules on Cloud Storage, and work with BigQuery datasets – gaining the practical experience that makes the difference on exam day and in real projects.
By the End of This Course, You Will Be Able To
Design and implement the right GCP storage architecture for any data workload covered on the Professional Cloud Database Engineer exam
Deploy and manage Cloud SQL, Spanner, Bigtable, Firestore, BigQuery, AlloyDB, and Memorystore in production-grade configurations
Migrate databases to GCP using Database Migration Service with minimal downtime and CDC-based replication
Secure GCP databases with IAM access control, encryption at rest and in transit, CMEK key management, and compliance controls
Troubleshoot database performance using query diagnostics, index optimization, and GCP-native monitoring tools
Apply best practices for backup, PITR, disaster recovery, cost optimization, and operational automation across all major GCP database services
This course is ideal for cloud engineers, database administrators, data engineers, and solution architects who are targeting the Google Cloud Professional Cloud Database Engineer certification and want a structured, practical path to exam success.
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