Data Theory
Software is fundamentally about transforming data. Understanding how data is structured, related, validated, and moved is the single most important concept in programming.
This section is a work in progress. Content is being actively developed.
Topics to Be Covered
- Data types and why they matter
- Data structures (arrays, objects, maps, sets)
- Relationships between data (one-to-one, one-to-many, many-to-many)
- Data normalization and denormalization
- Schema design principles
- Data validation and sanitization
- Serialization formats (JSON, CSV, XML, Protocol Buffers)
- State management
- Data flow in applications
- Immutability and side effects