Description

Introduction

Google Cloud Platform (GCP) offers a suite of fully managed database services, including Cloud SQL and Cloud Spanner, which are designed to handle the growing demands of modern applications. Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server, while Cloud Spanner is a globally distributed, horizontally scalable database built for mission-critical applications. This course covers the core features, use cases, and best practices for using Cloud SQL and Cloud Spanner for database management on GCP.

Prerequisites

Before beginning this course, participants should have:

• Basic understanding of cloud computing concepts and Google Cloud Platform (GCP).
• Familiarity with relational databases and SQL queries.
• Experience with database administration tasks, such as backups, monitoring, and security.
• Basic knowledge of networking and GCP’s virtual private cloud (VPC).
• Familiarity with GCP’s console and command-line tools.

Table of Contents

1. Introduction to Google Cloud Platform for Database Management
   1.1 Overview of GCP Database Services
   1.2 Key Benefits of Using Google Cloud for Databases
   1.3 Comparing Cloud SQL and Cloud Spanner
   1.4 GCP Tools and Services for Database Management
   1.5 Setting Up Your GCP Environment for Database Management
2. Getting Started with Cloud SQL
   2.1 Introduction to Cloud SQL
   2.2 Supported Databases: MySQL, PostgreSQL, and SQL Server
   2.3 Creating and Configuring Cloud SQL Instances
   2.4 Connecting to Cloud SQL Instances
   2.5 Importing and Exporting Data with Cloud SQL
   2.6 Best Practices for Cloud SQL Performance and Security
3. Cloud SQL Administration and Maintenance
   3.1 Backing Up and Restoring Databases in Cloud SQL
   3.2 Automating Maintenance Tasks(Ref: Networking in Google Cloud Platform: Advanced Concepts )
   3.3 Monitoring Cloud SQL Instances with Google Cloud Monitoring
   3.4 Managing Users and Permissions in Cloud SQL
   3.5 Optimizing Cloud SQL Queries for Better Performance
   3.6 Securing Cloud SQL Instances
4. Introduction to Cloud Spanner
   4.1 What is Cloud Spanner?
   4.2 Key Features of Cloud Spanner
   4.3 Use Cases for Cloud Spanner
   4.4 Setting Up Cloud Spanner Instances
   4.5 Connecting to Cloud Spanner with the Spanner Client
5. Cloud Spanner Data Management
   5.1 Creating and Managing Databases in Cloud Spanner
   5.2 Cloud Spanner Schema Design and Data Modeling
   5.3 Handling Transactions in Cloud Spanner
   5.4 Querying Cloud Spanner with SQL
   5.5 Scaling Cloud Spanner for Global Applications
6. Advanced Cloud Spanner Features
   6.1 Cloud Spanner’s High Availability and Global Distribution
   6.2 Integrating Cloud Spanner with Other GCP Services
   6.3 Security in Cloud Spanner: Encryption and IAM
   6.4 Disaster Recovery and Backup Strategies for Cloud Spanner
   6.5 Performance Tuning for Cloud Spanner Queries
7. Cloud SQL vs. Cloud Spanner: Choosing the Right Solution
   7.1 Cloud SQL Use Cases and Limitations
   7.2 Cloud Spanner Use Cases and Benefits
   7.3 Factors to Consider When Choosing Between Cloud SQL and Cloud Spanner
   7.4 Cost Considerations for Cloud SQL and Cloud Spanner
   7.5 Migration Strategies: Moving from Cloud SQL to Cloud Spanner
8. Database Migration to GCP
   8.1 Introduction to Database Migration Tools on GCP
   8.2 Migrating Databases to Cloud SQL
   8.3 Migrating Databases to Cloud Spanner
   8.4 Best Practices for Database Migration on GCP
   8.5 Troubleshooting Database Migrations
9. Monitoring and Performance Optimization for Cloud Databases
   9.1 Monitoring Cloud SQL and Cloud Spanner Instances
   9.2 Using Cloud Monitoring and Logging for Databases
   9.3 Query Performance Optimization in Cloud SQL and Cloud Spanner
   9.4 Auto-Scaling in Cloud Spanner
   9.5 Cost Optimization Strategies for GCP Databases
10. Best Practices for Managing Cloud Databases
    10.1 Securing Databases in the Cloud: Authentication and Authorization
    10.2 Automating Database Backups and Maintenance
    10.3 Optimizing Database Availability and Performance
    10.4 Ensuring Compliance and Data Governance
    10.5 Managing Costs and Scaling Databases Efficiently

Conclusion

By the end of this course, you will have a comprehensive understanding of how to use Google Cloud Platform’s database services—Cloud SQL and Cloud Spanner—for managing your databases in the cloud. You will learn to set up, manage, and optimize both Cloud SQL and Cloud Spanner for different use cases, ensuring high availability, security, and performance. This knowledge will empower you to build scalable, reliable, and cost-effective database solutions on GCP, and choose the best service for your organization’s needs.

Reference