Deep dives into system design, cloud architecture, and distributed systems.
26 articles • Page 3 of 3
Explore how databases store and retrieve data under the hood. Learn about append-only logs, indexes, and the fundamental trade-offs between read and write performance that shape every storage engine.
Learn Cypher, the intuitive query language for graph databases. Discover how its arrow notation makes graph traversal natural, and see why it outshines SQL for relationship-heavy queries.
Explore graph databases and when to use them. Learn about vertices, edges, property graphs, and why graphs excel at modeling highly connected data like social networks and recommendation systems.
Learn how MapReduce enables massive-scale data processing by combining the simplicity of two functions with the power of distributed computing.
Discover why describing what you want beats specifying how to get it, and how this simple shift unlocks automatic optimization, parallelization, and future-proof code.
Cut through the SQL vs NoSQL noise, learn when document databases shine, when relational databases win, and how modern databases blur the line between both.
Master the fundamental patterns of database relationships, many-to-one and many-to-many, and learn why IDs beat plain text for storing shared data.
Explore the fundamental disconnect between object-oriented programming and relational databases, and why it matters for system design.