Data Vault: Scalable Enterprise Data Modeling
Learn Data Vault modeling methodology for building auditable, scalable enterprise data warehouses with hash keys and satellite tables.
Learn Data Vault modeling methodology for building auditable, scalable enterprise data warehouses with hash keys and satellite tables.
Deep dive into Amazon DynamoDB architecture, partitioned tables, eventual consistency, on-demand capacity, and the single-digit millisecond SLA.
Explore Apache Cassandra's peer-to-peer architecture, CQL query language, tunable consistency, compaction strategies, and use cases at scale.
Master system design with this comprehensive learning path covering distributed systems, scalability, databases, caching, messaging, and real-world case studies for interview prep.
Scale caching across multiple nodes. Learn about cache clusters, consistency models, session stores, and cache coherence patterns.
Deploy applications across multiple geographic regions for low latency, high availability, and data locality. Covers latency-based routing, conflict resolution, and global distribution.
Multi-tenancy lets multiple customers share infrastructure while keeping data isolated. Explore schema strategies, tenant isolation patterns, and SaaS architecture.