Big data platforms in epidemiology employ a range of tools and technologies. These include data lakes for storage, Hadoop and Spark for processing, and NoSQL databases for managing unstructured data. Advanced analytics tools such as R and Python are often used for statistical analysis and modeling. Additionally, visualization tools like Tableau and Power BI help in presenting data in an understandable format.
