What are the Challenges of Using Hadoop in Epidemiology?
Despite its advantages, several challenges exist:
Data Privacy: Handling sensitive health data requires robust security measures to ensure patient confidentiality. Data Integration: Combining diverse data sources can be complex and require significant data preprocessing. Technical Expertise: Requires specialized skills in big data technologies and epidemiological methods. Infrastructure: Setting up and maintaining a Hadoop cluster can be resource-intensive.
