Topics covers in this course include: 

Module 1: Advanced Data Modeling Techniques

• Explore advanced data modeling concepts like denormalization, partitioning, and sharding.
• Design complex data models to optimize query performance and scalability.
• Understand best practices for data warehouse and data mart design.

Module 2: Database Optimization Strategies

• Learn techniques to optimize database performance, including indexing, query tuning, and partitioning.
• Implement strategies to handle large datasets and high-traffic scenarios.
• Explore best practices for database replication and failover.

Module 3: Scalability and High Availability

• Design scalable database architectures for cloud-native applications.
• Implement strategies for horizontal and vertical scaling of Cloud SQL instances.
• Ensure high availability and disaster recovery for your databases. 

Module 4: Database Security and Compliance

• Implement robust security measures to protect your Cloud SQL databases.
• Understand data encryption, access control, and compliance regulations.

• Explore best practices for data privacy and protection.

   

  Module 5: Cloud SQL Advanced Features

• Leverage advanced Cloud SQL features like replication, backups, and integration with other GCP services.
• Understand how to optimize resource utilization and cost-efficiency. 

Bonus Module (Optional):

• Explore emerging database trends and technologies relevant to Cloud SQL.
  By completing this course, you'll gain the expertise to design and implement advanced database architectures on Cloud SQL, ensuring optimal performance, scalability, and security for your cloud-based applications.