Google Cloud Databases

Week 1: Introduction to Google Cloud Platform and Databases

  • Overview of Google Cloud Platform (GCP)
    • Introduction to GCP services and architecture
    • Navigating the GCP console
  • Introduction to Google Cloud Databases
    • Overview of database types and use cases
    • Comparison of relational vs. non-relational databases

Week 2: Cloud SQL

  • Introduction to Cloud SQL
    • Supported database engines (MySQL, PostgreSQL, SQL Server)
    • Creating and managing Cloud SQL instances
  • Database Operations
    • Importing and exporting data
    • Configuring backups and high availability
    • Monitoring and tuning performance

Week 3: Cloud Spanner

  • Introduction to Cloud Spanner
    • Spanner architecture and key features
    • Use cases for Cloud Spanner
  • Managing Cloud Spanner
    • Creating and managing Spanner instances and databases
    • Data modeling and schema design in Spanner
    • Performance tuning and monitoring

Week 4: Firestore

  • Introduction to Firestore
    • Firestore modes (Native and Datastore)
    • Key concepts: collections, documents, queries
  • Firestore Operations
    • Creating and managing Firestore databases
    • Real-time updates and offline support
    • Security rules and access control

    Week 6: BigQuery

    • Introduction to BigQuery
      • BigQuery architecture and key features
      • Use cases for data warehousing and analytics
    • BigQuery Operations
      • Creating and managing datasets and tables
      • Writing and optimizing SQL queries
      • Using BigQuery ML for machine learning

    Week 7: Cloud Datastore

    • Introduction to Cloud Datastore
      • Datastore architecture and key features
      • Comparing Datastore and Firestore
    • Managing Datastore
      • Creating and managing Datastore entities
      • Queries and indexing
      • Best practices for performance and cost optimization

    Week 8: Cloud Memorystore

    • Introduction to Cloud Memorystore
      • Supported engines (Redis, Memcached)
      • Use cases for in-memory data storage
    • Managing Cloud Memorystore
      • Creating and managing Redis and Memcached instances
      • Configuring persistence and replication
      • Monitoring and scaling

    Week 9: Database Migration and Integration

    • Database Migration Service
      • Introduction to Database Migration Service
      • Migrating databases to Cloud SQL and other GCP databases
    • Integration with Other GCP Services
      • Integrating databases with Cloud Functions, App Engine, and Kubernetes
      • Dataflow for ETL processes
      • Pub/Sub for real-time data processing

      Week 9: Monitoring, Performance, and Cost Management

      • Monitoring and Logging
        • Using Stackdriver for monitoring and logging
        • Setting up alerts and dashboards for database health
      • Performance Tuning
        • Identifying and addressing performance bottlenecks
        • Best practices for query optimization
      • Cost Management
        • Managing costs associated with GCP databases
        • Using cost management tools and setting budgets