Column-Family Databases: Cassandra and HBase Architecture
Cassandra and HBase data storage explained. Learn partition key design, column families, time-series modeling, and consistency tradeoffs.
Cassandra and HBase data storage explained. Learn partition key design, column families, time-series modeling, and consistency tradeoffs.
Learn MongoDB and CouchDB data modeling, embedding vs referencing, schema validation, and when document stores fit better than relational databases.
Learn Neo4j graph database modeling with Cypher. Covers nodes, edges, social networks, recommendation engines, fraud detection, and when graphs are not the right fit.
Learn Redis and DynamoDB key-value patterns for caching, sessions, leaderboards, TTL eviction policies, and storage tradeoffs.
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 database design with this comprehensive learning path covering relational modeling, NoSQL patterns, indexing strategies, query optimization, and distributed data systems.
Explore NoSQL database types, CAP theorem implications, and when to choose MongoDB, Cassandra, DynamoDB, or graph databases over relational systems.