Designing data-intensive applications requires a unique approach that prioritizes scalability, performance, and reliability, with key characteristics including high volume, velocity, and variety of data. Effective design involves focusing on three pillars: data ingestion, storage, and analytics, while project management tips include breaking down the problem, choosing the right tools, prioritizing scalability, and monitoring performance.