Floating point overflow occurs when a calculation exceeds the maximum representable value defined by the floating point standard for a given data type, leading to results that can be represented as infinity or cause undefined behavior. This phenomenon often highlights the limitations and precision trade-offs inherent in computer arithmetic, necessitating thoughtful design and testing to ensure computational accuracy and stability.