NeuralBlitz What I do
- Choose appropriate NoSQL databases for use cases
- Design distributed data models
- Optimize for specific access patterns
- Handle eventual consistency
- Design for horizontal scalability
When to use me
When selecting NoSQL databases, designing distributed systems, or working with non-relational data models.
Key Concepts
NoSQL Categories
- Document: MongoDB, CouchDB, Cosmos DB
- Key-Value: Redis, DynamoDB, etcd
- Wide-Column: Cassandra, HBase, Bigtable
- Graph: Neo4j, Amazon Neptune, ArangoDB
Data Modeling Patterns
- Denormalization
- Embedding vs referencing
- Composite keys
- Time-series modeling
- Event sourcing patterns
Consistency Models
- Eventual consistency
- Strong consistency
- Tunable consistency
- Read your writes consistency
- Causality and vector clocks
Scalability
- Horizontal partitioning (sharding)
- Consistent hashing
- Data balancing
- Replication topologies
- Multi-region deployments
Query Patterns
- Primary key access patterns
- Secondary indexes
- Full-text search
- Aggregation pipelines
- Graph traversal
Trade-offs
- ACID vs BASE
- CAP theorem implications
- Query flexibility vs performance
- Schema flexibility vs validation
When to Use Each Type
- Document: Flexible schemas, catalogs, content management
- Key-Value: Caching, session store, high-speed access
- Wide-Column: Time-series, IoT, high write throughput
- Graph: Social networks, recommendations, fraud detection