6 docs tagged with "data-modeling"

Master modern data architecture patterns, storage technologies, and scalable persistence strategies

Core data concepts every engineer should master: modeling, transactions & isolation, indexing, consistency models, and lifecycle.

Master the three levels of data modeling: conceptual (what), logical (how), and physical (where) to design effective data structures.

Design efficient data structures and access patterns for optimal performance and maintainability

Balance data consistency and query performance through normalization and strategic denormalization

Explore different database and storage technologies: RDBMS, NoSQL, graphs, time-series, and more