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Course Outline
Distributed SQL Sovereignty
- The limitations of global SQL within closed platforms like Spanner and Aurora Global.
- CockroachDB architecture: Raft ranges, leaseholders, and MVCC.
- Achieving horizontal scaling without relying on shared storage.
Cluster Deployment
- Single-region and multi-region Docker Compose topologies.
- Kubernetes StatefulSet deployment with persistent volumes.
- Best practices for security certificates and node initialization.
SQL Compatibility and Query Tuning
- Supported SQL features and PostgreSQL compatibility limitations.
- The cost-based optimizer and analyzing execution plans.
- Utilizing indexes, composite keys, and inverted indexes for JSON/arrays.
Multi-Region Configuration
- Configuring region and locality settings for precise data placement.
- Follow-the-workload strategies versus regional tables and survival goals.
- Leaseholder placement and topology-aware routing.
Backup, Restore, and DR
- Performing full cluster backups to cloud storage or on-premise S3.
- Implementing incremental backups and point-in-time recovery.
- Utilizing Changefeeds for Kafka and webhook streaming.
Security and Compliance
- Enforcing TLS everywhere: for node-to-node and client-to-node communication.
- Implementing RBAC and row-level security.
- Setting up audit logging and compliance reporting.
Integration Patterns
- Connecting ORM frameworks such as SQLAlchemy, Prisma, and GORM.
- Migrating from PostgreSQL using appropriate tooling.
- Integrating Kubernetes sidecars and service meshes.
Requirements
- Strong proficiency in SQL and relational database administration.
- High-level understanding of distributed consensus mechanisms (Raft).
- Familiarity with Go tooling and Docker is advantageous.
Audience
- Senior database architects developing sovereign data layers.
- Teams migrating away from Spanner, Aurora Global, or Cosmos DB.
- Financial and healthcare organizations requiring robust consistency guarantees.
21 Hours
Testimonials (2)
The training instruments provided.
- UNIFI
Course - NoSQL Database with Microsoft Azure Cosmos DB
The adjustment made in the lecture/lessons by the trainer once he understood the current SSIS application that we are bound to maintain. The topics became more suitable/usable to us.
