Parallel Data Analysis

Parallel data analysis refers to the process of analyzing large volumes of data by dividing the workload across multiple computing resources that work in parallel. It involves breaking down the data and distributing the analysis tasks across multiple processors, servers, or computing nodes, allowing for faster and more efficient data processing. Parallel data analysis is commonly used in high-performance computing, big data analytics, and scientific research to expedite complex data analysis tasks.