- (5.0 Star)
Google Professional Cloud Database Engineer
Certification Training
We offer instructor-led online live virtual training and physical classroom training delivered by certified trainers and experienced industry professionals
- Get Up to 25% discount
About Course
Google Professional Cloud Database Engineer
With Job Role Placement Opportunities – CloudNet India
Course Overview
The Google Professional Cloud Database Engineer course by CloudNet India is an advanced, industry-aligned program designed to equip learners with the skills required to design, deploy, migrate, manage, and optimize databases on Google Cloud Platform (GCP).
This program focuses on modern cloud-native databases, performance tuning, security, high availability, disaster recovery, and data migration strategies, enabling professionals to support enterprise-grade data solutions. Along with in-depth technical training, CloudNet India provides career mentorship and placement assistance to help learners transition into professional-level cloud database roles.
Who Can Join This Course?
This course is ideal for:
- Database Administrators (DBAs)
- Cloud Engineers & System Administrators
- Data Engineers & Data Analysts
- Backend & Application Developers
- DevOps & Site Reliability Engineers
- IT Infrastructure Professionals
- Professionals preparing for Google Professional Cloud Database Engineer certification
Prerequisites
- Understanding of basic database concepts (SQL, relational databases)
- Familiarity with cloud computing fundamentals
- Experience with Linux, applications, or databases is recommended
Course Objectives
By the end of this program, learners will be able to:
- Design scalable, secure, and highly available database solutions
- Choose the right Google Cloud database services for various workloads
- Migrate on-premises databases to Google Cloud
- Implement backup, recovery, and disaster recovery strategies
- Optimize database performance and cost
- Secure databases using IAM, encryption, and compliance best practices
- Prepare for the Google Professional Cloud Database Engineer certification
- Qualify for professional-level database and cloud roles
Job Roles After Course Completion
Learners will be prepared for roles such as:
- Professional Cloud Database Engineer
- Cloud Database Administrator (Cloud DBA)
- Database Engineer
- GCP Database Specialist
- Cloud Data Engineer
- Backend Database Engineer
- Infrastructure Database Consultant
Placement Support by CloudNet India
CloudNet India provides structured job role placement opportunities, including:
- Career counseling and mentorship
- Resume & portfolio development
- Technical interview preparation
- Mock interviews with cloud and database experts
- Job referrals through hiring partners
- Internship, contract, and full-time role assistance
Placement assistance is subject to learner performance, assessments, project completion, and market conditions.
Key Highlights
- Advanced, database-focused cloud training
- Hands-on labs with Google Cloud databases
- Real-world migration and optimization scenarios
- Certification-oriented curriculum
- Industry-aligned projects
- Dedicated placement and career support
Certification
Upon successful completion, learners receive a Google Professional Cloud Database Engineer Course Completion Certificate from CloudNet India, validating their expertise and enhancing career opportunities.
Key Features
You will get 100% job Assurance and life time e-placement support
classed taken by globally certified trainers
You will get 3 year Dedicated placement support
Courses are globally recognized & accredited
Course Type:
Certification Training
Live virtual classroom:
22,000/-
28,000/-
Regular classroom:
22,000/-
28,000/-
- Duration:
80 Hrs. / 4 Months
- Enrolled:
69 Learners
- Eligibility:
10+2 / Any Graduate / BCA B.Tech BSc IT
- 5 Star:
11 Reviews
Module 1: Google Cloud & Database Fundamentals
- Overview of Google Cloud Platform
- Resource hierarchy and project setup
- Database fundamentals and architectures
- OLTP vs OLAP workloads
- Choosing the right database solution
Module 2: Google Cloud Database Services Overview
- Cloud SQL (MySQL, PostgreSQL, SQL Server)
- Cloud Spanner (Global, distributed databases)
- Firestore & Bigtable (NoSQL databases)
- BigQuery (Analytical data warehouse)
- Use cases and service comparison
Module 3: Cloud SQL – Design & Management
- Instance configuration and sizing
- High availability and read replicas
- Backup and recovery strategies
- Performance tuning
- Monitoring and troubleshooting
Module 4: Cloud Spanner Architecture & Use Cases
- Distributed database concepts
- Schema design and indexing
- Transaction models
- Scaling and performance optimization
- Spanner security and access control
Module 5: NoSQL Databases on Google Cloud
- Firestore architecture and data modeling
- Bigtable design principles
- Use cases for NoSQL workloads
- Performance and scalability strategies
Module 6: Data Migration Strategies
- Database migration planning
- Database Migration Service (DMS)
- Online vs offline migrations
- Schema conversion and validation
- Post-migration optimization
Module 7: Security & Compliance for Databases
- Identity and Access Management (IAM)
- Encryption at rest and in transit
- Key Management Service (KMS)
- Data privacy and compliance standards
- Auditing and logging
Module 8: Backup, Recovery & Disaster Recovery
- Automated and manual backups
- Point-in-time recovery
- Cross-region replication
- Disaster recovery planning
- Business continuity strategies
Module 9: Performance Tuning & Cost Optimization
- Query optimization techniques
- Indexing strategies
- Resource scaling and rightsizing
- Cost monitoring and optimization
- Performance benchmarking
Module 10: Monitoring & Operations
- Cloud Monitoring and Logging
- Alerting and incident response
- Database health checks
- Troubleshooting production issues
- Operational best practices
Module 11: Real-World Case Studies & Scenarios
- Enterprise database architectures
- Multi-region database design
- Hybrid and cloud-native database solutions
- Exam-oriented scenario analysis
- Architecture documentation
Module 12: Career Readiness & Placement Preparation
- Database Engineer career roadmap
- Resume & LinkedIn profile optimization
- Technical and scenario-based interview preparation
- Mock interviews with industry experts
- Job referrals and placement guidance
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