Quality over quantity in structured data

Prioritizing data quality over quantity in structured data is crucial for learning the same patterns with fewer high-quality samples. Employing a data selection strategy is essential for structured data due to its volume and expense, as moving from data lakes to data oceans requires rethinking existing systems and tools.