Cancer research generates massive datasets, often referred to as big data. These programs are designed to handle big data through:
1. Scalability: The ability to process large datasets efficiently. 2. Cloud Computing: Many programs utilize cloud platforms to store and analyze data, providing computational power and storage. 3. Parallel Processing: Techniques like parallel processing allow for the simultaneous analysis of multiple datasets, speeding up the research process.
