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.
Posts tagged with #nosql
Document Databases: MongoDB and CouchDB Data Modeling
Learn MongoDB and CouchDB data modeling, embedding vs referencing, schema validation, and when document stores fit better than relational databases.
Graph Databases: Neo4j and Graph Traversal Patterns
Learn Neo4j graph database modeling with Cypher. Covers nodes, edges, social networks, recommendation engines, fraud detection, and when graphs are not the right fit.
Key-Value Stores: Redis and DynamoDB Patterns
Learn Redis and DynamoDB key-value patterns for caching, sessions, leaderboards, TTL eviction policies, and storage tradeoffs.
Amazon DynamoDB: Scalable NoSQL with Predictable Performance
Deep dive into Amazon DynamoDB architecture, partitioned tables, eventual consistency, on-demand capacity, and the single-digit millisecond SLA.
Apache Cassandra: Distributed Column Store Built for Scale
Explore Apache Cassandra's peer-to-peer architecture, CQL query language, tunable consistency, compaction strategies, and use cases at scale.
Database Design Roadmap: From Schema Basics to Distributed Data Architecture
A practical learning path covering relational modeling, NoSQL patterns, indexing strategies, query optimization, and distributed data systems — everything you need to design databases that actually hold up under production load.
NoSQL Databases: Document, Key-Value, Column-Family, Graph
Explore NoSQL database types, CAP theorem implications, and when to choose MongoDB, Cassandra, DynamoDB, or graph databases over relational systems.
Redis vs Memcached: Choosing an In-Memory Data Store
A comprehensive comparison of Redis and Memcached — data structures, persistence, clustering, Lua scripting, pub/sub, and guidance on when to choose each.