What are the Advantages of Using Hadoop in Epidemiology?

Scalability: Hadoop can scale out by adding more nodes to handle increased data loads.
Cost-effectiveness: As an open-source platform, Hadoop reduces the cost of data storage and processing compared to traditional systems.
Flexibility: It can store and process various types of data, including structured, semi-structured, and unstructured data.
Speed: Parallel processing capabilities significantly reduce the time required for data analysis.
Fault Tolerance: HDFS ensures data is replicated across multiple nodes, providing resilience against hardware failures.