In-depth articles, tutorials, and guides on Data Systems — covering everything from fundamentals to advanced patterns.
A data system is not one thing. Operational databases, analytics engines, warehouses, lakes, and derived datasets exist because products ask very different questions at very different speeds.
Relational vs non-relational, transactional vs eventually consistent, operational vs analytical, warehouse vs data lake. These are not separate buzzwords. They are connected choices about what data model, guarantees, and query patterns your product actually needs.
Not all performance wins come from the same layer. Caches, CDNs, and database indexes all speed up reads, but they solve different bottlenecks and create different failure modes around staleness, invalidation, and query cost.