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From Raw Data to Defined Schemas
AI034 Lesson 5
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Imagine raw data as an unlabeled stream—a wild frontier of memory. In Rust, we begin by handling data as contiguous chunks (slices and arrays). This transition from raw data to defined schemas marks the shift from anonymous memory to purposeful structures.

1. The "Raw" Tier

Slices and arrays represent data in its simplest form. Safety is maintained through compile-time ownership checks rather than runtime overhead. Using borrowing (&) allows us to create "views" into data without moving values.

String (Stack)ptr | len | cap[ h e l l o _ w o r l d ]&str (Slice)Borrowing a sub-section

2. Semantic Limits

While functions like first_word are flexible (accepting String, &str, or literals), they reach a semantic limit. The compiler knows the memory is safe, but it doesn't know what the data represents (e.g., a username vs. a sensor reading) until we map it to a Struct.

Architecture Principle: The concepts of ownership, borrowing, and slices ensure memory safety in Rust programs at compile time, eliminating the need for a garbage collector.
main.py
TERMINAL bash — 80x24
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