Database Scaling: Vertical, Horizontal, and Read Replicas
Learn strategies for scaling databases beyond a single instance: vertical scaling, read replicas, write scaling, and when to choose each approach.
Posts tagged with #databases
Horizontal Sharding: Distribution Strategies for Scale
Learn database sharding strategies including shard key selection, consistent hashing, cross-shard queries, and operational procedures for distributed data.
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.
Relational Databases: ACID Transactions and Data Foundation
Learn how relational databases work, from ACID properties and transactions to joins, indexing, and normalization in PostgreSQL and MySQL.
Table Partitioning: Range, Hash, and List Strategies
Learn how table partitioning improves query performance and maintenance, including range partitioning, hash partitioning, and partition pruning.
Time-Series Databases: Handling Time-Ordered Data
How to handle time-ordered data with InfluxDB and TimescaleDB — covering downsampling, retention policies, high-cardinality tags, and IoT analytics at scale.
CAP Theorem: Consistency vs Availability Trade-offs
Learn the fundamental trade-off between Consistency, Availability, and Partition tolerance in distributed systems with practical examples.
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.