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Course Outline

Distributed SQL Sovereignty

  • Challenges of global SQL locked into closed platforms: Spanner, Aurora Global.
  • CockroachDB architecture: Raft ranges, leaseholders, and MVCC (Multi-Version Concurrency Control).
  • Achieving horizontal scaling without shared storage bottlenecks.

Cluster Deployment

  • Configuring single-region and multi-region topologies with Docker Compose.
  • Deploying Kubernetes StatefulSets with persistent volumes.
  • Best practices for security certificates and node initialization.

SQL Compatibility and Query Tuning

  • Supported SQL features and limitations compared to PostgreSQL.
  • Navigating the cost-based optimizer and interpreting execution plans.
  • Utilizing indexes, composite keys, and inverted indexes for JSON/arrays.

Multi-Region Configuration

  • Defining region and locality settings to control data placement.
  • Understanding follow-the-workload strategies versus regional tables and survival goals.
  • Managing leaseholder placement and topology-aware routing.

Backup, Restore, and Disaster Recovery (DR)

  • Performing full cluster backups to cloud storage or on-premise S3-compatible systems.
  • Implementing incremental backups and point-in-time recovery.
  • Leveraging Changefeeds for streaming data to Kafka or webhooks.

Security and Compliance

  • Enforcing TLS everywhere: between nodes and from client to node.
  • Implementing RBAC (Role-Based Access Control) and row-level security.
  • Managing audit logging and generating compliance reports.

Integration Patterns

  • Connecting ORM frameworks: SQLAlchemy, Prisma, GORM.
  • Executing migrations from PostgreSQL using available tooling.
  • Integrating Kubernetes sidecars and service meshes.

Requirements

  • Strong proficiency in SQL and relational database administration.
  • A high-level understanding of distributed consensus mechanisms (specifically Raft).
  • Familiarity with Go tooling and Docker is beneficial.

Audience

  • Senior database architects focused on building sovereign data layers.
  • Teams tasked with replacing Google Spanner, Amazon Aurora Global, or Cosmos DB.
  • Financial and healthcare organizations requiring robust data consistency.
 21 Hours

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